Model10
Several authors
Created: 12-04-2024. Last modified: 25-04-2024.
Let us set some global options for all code chunks in this document.
knitr::opts_chunk$set(
message = FALSE, # Disable messages printed by R code chunks
warning = FALSE, # Disable warnings printed by R code chunks
echo = TRUE, # Show R code within code chunks in output
include = TRUE, # Include both R code and its results in output
eval = TRUE, # Evaluate R code chunks
cache = FALSE, # Enable caching of R code chunks for faster rendering
fig.align = "center",
out.width = "100%",
retina = 2,
error = TRUE,
collapse = TRUE
)
rm(list = ls())
set.seed(1982)1 Preprocessing
Let us now load some required libraries.
# Load required libraries
# inla.upgrade(testing = TRUE)
# remotes::install_github("inlabru-org/inlabru", ref = "devel")
# remotes::install_github("davidbolin/rspde", ref = "devel")
# remotes::install_github("davidbolin/metricgraph", ref = "devel")
library(INLA)
library(inlabru)
library(rSPDE)
library(MetricGraph)
library(plotly)
library(dplyr)
library(sf)
library(here)Function standarize() below is later used to standardize
the covariate SpeedLimit.
standardize <- function(x) {return((x - mean(x)) / sd(x))}To keep track of the changes, we provide summaries of every new created object. Those summaries can be accessed by pressing the Show buttons below
We load the graph object sf_graph (which only contains
weights) and the data (already graph-processed).
load(here("Graph_objects/graph_construction_25_04_2024partialtomtomwhichlonglatsf.RData"))
load(here("Data_files/data_day7142128_hour13_with_no_consecutive_zeros_partialtomtom_graph_25_04_2024_processed.RData"))
data_on_graph = data_on_graph %>%
dplyr::select(-datetime)sf_graph$get_edge_lengths() %>% head() %>% capture.output() %>% grep("^Units:", ., value = TRUE)
## [1] "Units: [km]"summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 4017
## Degree 2: 1821; Degree 3: 180; Degree 4: 1402; Degree 5: 94; Degree 6: 367;
## Degree 7: 36; Degree 8: 116; Degree 12: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 6827
## Lengths:
## Min: 0.002834658 ; Max: 0.2743201 ; Total: 311.1441
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_6 class_5 class_4 class_0 class_3 class_1 upto1 upto3 upto4 upto5 upto6 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: TRUE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data: The graph has no data!
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0
summary(data_on_graph)
## ID speed day .distance_to_graph
## Min. :5701 Min. : 0.000 Min. :1.000 Min. :0.000000
## 1st Qu.:6571 1st Qu.: 1.609 1st Qu.:2.000 1st Qu.:0.001655
## Median :6687 Median :14.484 Median :3.000 Median :0.003552
## Mean :7106 Mean :15.142 Mean :2.556 Mean :0.004469
## 3rd Qu.:7281 3rd Qu.:24.140 3rd Qu.:4.000 3rd Qu.:0.006152
## Max. :8969 Max. :99.779 Max. :4.000 Max. :0.019991
## .edge_number .distance_on_edge .group .coord_x
## Min. : 1 Min. :0.0000 Length:39574 Min. :-122.4
## 1st Qu.:1413 1st Qu.:0.2726 Class :character 1st Qu.:-122.4
## Median :2879 Median :0.5149 Mode :character Median :-122.4
## Mean :3090 Mean :0.5089 Mean :-122.4
## 3rd Qu.:4753 3rd Qu.:0.7501 3rd Qu.:-122.4
## Max. :6826 Max. :1.0000 Max. :-122.4
## .coord_y
## Min. :37.77
## 1st Qu.:37.78
## Median :37.79
## Mean :37.79
## 3rd Qu.:37.79
## Max. :37.81The following commands remove zero speed observations that are 1m away from the graph, and after that, they remove any speed observations that are 3m away from the graph.
to_remove = data_on_graph %>%
filter(speed == 0, .distance_to_graph > 0.001)
data_on_graph = setdiff(data_on_graph, to_remove) %>%
filter(.distance_to_graph <= 0.003)summary(to_remove)
## ID speed day .distance_to_graph .edge_number
## Min. :5701 Min. :0 Min. :1.000 Min. :0.001001 Min. : 1
## 1st Qu.:6574 1st Qu.:0 1st Qu.:2.000 1st Qu.:0.002757 1st Qu.:1376
## Median :6688 Median :0 Median :3.000 Median :0.004563 Median :2788
## Mean :7078 Mean :0 Mean :2.556 Mean :0.005453 Mean :3031
## 3rd Qu.:7277 3rd Qu.:0 3rd Qu.:4.000 3rd Qu.:0.007129 3rd Qu.:4715
## Max. :8969 Max. :0 Max. :4.000 Max. :0.019988 Max. :6812
## .distance_on_edge .group .coord_x .coord_y
## Min. :0.0000 Length:8597 Min. :-122.4 Min. :37.77
## 1st Qu.:0.3078 Class :character 1st Qu.:-122.4 1st Qu.:37.78
## Median :0.5301 Mode :character Median :-122.4 Median :37.79
## Mean :0.5177 Mean :-122.4 Mean :37.79
## 3rd Qu.:0.7362 3rd Qu.:-122.4 3rd Qu.:37.79
## Max. :1.0000 Max. :-122.4 Max. :37.81
summary(data_on_graph)
## ID speed day .distance_to_graph
## Min. :5701 Min. : 0.000 Min. :1.00 Min. :0.0000000
## 1st Qu.:6565 1st Qu.: 9.656 1st Qu.:2.00 1st Qu.:0.0005835
## Median :6683 Median :19.312 Median :3.00 Median :0.0012618
## Mean :7115 Mean :19.385 Mean :2.55 Mean :0.0013511
## 3rd Qu.:7286 3rd Qu.:27.359 3rd Qu.:4.00 3rd Qu.:0.0021077
## Max. :8969 Max. :99.779 Max. :4.00 Max. :0.0029999
## .edge_number .distance_on_edge .group .coord_x
## Min. : 1 Min. :0.0000 Length:14534 Min. :-122.4
## 1st Qu.:1376 1st Qu.:0.2552 Class :character 1st Qu.:-122.4
## Median :2956 Median :0.5139 Mode :character Median :-122.4
## Mean :3130 Mean :0.5099 Mean :-122.4
## 3rd Qu.:4803 3rd Qu.:0.7697 3rd Qu.:-122.4
## Max. :6817 Max. :1.0000 Max. :-122.4
## .coord_y
## Min. :37.77
## 1st Qu.:37.78
## Median :37.79
## Mean :37.79
## 3rd Qu.:37.79
## Max. :37.81We add data to the graph.
sf_graph$add_observations(data = data_on_graph,
group = "day",
normalized = TRUE,
clear_obs = TRUE)sf_graph$get_data()
## # A tibble: 14,534 × 9
## ID speed day .distance_to_graph .coord_x .coord_y .edge_number
## <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 6666 0 1 0.00100 -122. 37.8 1
## 2 8941 12.9 1 0.00230 -122. 37.8 4
## 3 8768 24.1 1 0.00233 -122. 37.8 6
## 4 8929 32.2 1 0.00151 -122. 37.8 6
## 5 8965 0 1 0.000647 -122. 37.8 9
## 6 8965 19.3 1 0.00170 -122. 37.8 14
## 7 8954 22.5 1 0.00103 -122. 37.8 14
## 8 8774 19.3 1 0.00279 -122. 37.8 14
## 9 6655 30.6 1 0.00208 -122. 37.8 18
## 10 6677 14.5 1 0.000436 -122. 37.8 20
## # ℹ 14,524 more rows
## # ℹ 2 more variables: .distance_on_edge <dbl>, .group <chr>
summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 4017
## Degree 2: 1821; Degree 3: 180; Degree 4: 1402; Degree 5: 94; Degree 6: 367;
## Degree 7: 36; Degree 8: 116; Degree 12: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 6827
## Lengths:
## Min: 0.002834658 ; Max: 0.2743201 ; Total: 311.1441
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_6 class_5 class_4 class_0 class_3 class_1 upto1 upto3 upto4 upto5 upto6 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: TRUE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data:
## Columns: ID speed day
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0We get the values of the weights at data locations. This essentially gives us covariates from the weights.
sf_graph$edgeweight_to_data(data_loc = TRUE)sf_graph$get_data()
## # A tibble: 57,108 × 54
## ID speed day .distance_to_graph Length FRC SpeedLimit StreetName
## <int> <dbl> <dbl> <dbl> <dbl> <chr> <dbl> <chr>
## 1 NA NA NA NA 0.0361 5 40 Harrison St
## 2 NA NA NA NA 0.0361 5 40 Harrison St
## 3 NA NA NA NA 0.0361 5 40 Harrison St
## 4 6666 0 1 0.00100 0.0361 5 40 Harrison St
## 5 NA NA NA NA 0.0361 5 40 Harrison St
## 6 NA NA NA NA 0.0361 5 40 Harrison St
## 7 NA NA NA NA 0.0361 5 40 Harrison St
## 8 NA NA NA NA 0.0361 5 40 Harrison St
## 9 NA NA NA NA 0.0361 5 40 Harrison St
## 10 8941 12.9 1 0.00230 0.112 6 35 Rhode Island St
## # ℹ 57,098 more rows
## # ℹ 46 more variables: harmonicAverageSpeed <dbl>, medianSpeed <dbl>,
## # averageSpeed <dbl>, sampleSize <int>, averageTravelTime <dbl>,
## # medianTravelTime <dbl>, travelTimeRatio <dbl>, List_Number <int>,
## # `5percentile` <int>, `10percentile` <int>, `15percentile` <int>,
## # `20percentile` <int>, `25percentile` <int>, `30percentile` <int>,
## # `35percentile` <int>, `40percentile` <int>, `45percentile` <int>, …
summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 4017
## Degree 2: 1821; Degree 3: 180; Degree 4: 1402; Degree 5: 94; Degree 6: 367;
## Degree 7: 36; Degree 8: 116; Degree 12: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 6827
## Lengths:
## Min: 0.002834658 ; Max: 0.2743201 ; Total: 311.1441
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_6 class_5 class_4 class_0 class_3 class_1 upto1 upto3 upto4 upto5 upto6 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: TRUE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data:
## Columns: ID speed day Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_6 class_5 class_4 class_0 class_3 class_1 upto1 upto3 upto4 upto5 upto6 density density_per_hour
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0When running
sf_graph$edgeweight_to_data(data_loc = TRUE), some
NA values are created (because the data is grouped). We
remove them below. We also standardize the SpeedLimit
covariate.
data = sf_graph$get_data() %>%
drop_na(-StreetName) %>% # this drops all rows with at least one NA value but without taking into account StreetName
mutate(across(c("SpeedLimit"), ~standardize(.))) %>%
dplyr::select(speed, SpeedLimit)The code of chunk below was executed only one time.
{r, eval = FALSE}
aux = data |>
rename(distance_on_edge = .distance_on_edge, edge_number = .edge_number) |>
as.data.frame() |>
dplyr::select(edge_number, distance_on_edge, .group)
distmatrixlist = list()
for (i in 1:4) {
distmatrixlist[[i]] = sf_graph$compute_geodist_PtE(PtE = aux %>%
filter(.group == as.character(i)) %>%
dplyr::select(-.group),
normalized = TRUE,
include_vertices = FALSE)
}
save(distmatrixlist, file = here("Models_output/distmatrixfixed.RData"))The code of chunk above was executed only one time.
summary(data)
## speed SpeedLimit .group .edge_number
## Min. : 0.000 Min. :-2.3743 Length:14534 Min. : 1
## 1st Qu.: 9.656 1st Qu.:-0.1006 Class :character 1st Qu.:1376
## Median :19.312 Median :-0.1006 Mode :character Median :2956
## Mean :19.385 Mean : 0.0000 Mean :3130
## 3rd Qu.:27.359 3rd Qu.:-0.1006 3rd Qu.:4803
## Max. :99.779 Max. : 6.6173 Max. :6817
## .distance_on_edge .coord_x .coord_y
## Min. :0.0000 Min. :-122.4 Min. :37.77
## 1st Qu.:0.2552 1st Qu.:-122.4 1st Qu.:37.78
## Median :0.5139 Median :-122.4 Median :37.79
## Mean :0.5099 Mean :-122.4 Mean :37.79
## 3rd Qu.:0.7697 3rd Qu.:-122.4 3rd Qu.:37.79
## Max. :1.0000 Max. :-122.4 Max. :37.81We add the data again but now with the new standardized
SpeedLimit covariate.
sf_graph$add_observations(data = data,
group = "day",
normalized = TRUE,
clear_obs = TRUE)sf_graph$get_data()
## # A tibble: 14,534 × 7
## speed SpeedLimit .coord_x .coord_y .edge_number .distance_on_edge .group
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>
## 1 0 -0.101 -122. 37.8 1 0.437 1
## 2 12.9 -0.617 -122. 37.8 4 0.144 1
## 3 24.1 -0.617 -122. 37.8 6 0.252 1
## 4 32.2 -0.617 -122. 37.8 6 0.658 1
## 5 0 -0.927 -122. 37.8 9 0.601 1
## 6 19.3 -0.927 -122. 37.8 14 0.0247 1
## 7 22.5 -0.927 -122. 37.8 14 0.362 1
## 8 19.3 -0.927 -122. 37.8 14 0.832 1
## 9 30.6 -0.927 -122. 37.8 18 0.358 1
## 10 14.5 -0.927 -122. 37.8 20 0.309 1
## # ℹ 14,524 more rows
summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 4017
## Degree 2: 1821; Degree 3: 180; Degree 4: 1402; Degree 5: 94; Degree 6: 367;
## Degree 7: 36; Degree 8: 116; Degree 12: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 6827
## Lengths:
## Min: 0.002834658 ; Max: 0.2743201 ; Total: 311.1441
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_6 class_5 class_4 class_0 class_3 class_1 upto1 upto3 upto4 upto5 upto6 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: TRUE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data:
## Columns: speed SpeedLimit
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0We build a mesh.
h = 0.05
sf_graph$build_mesh(h = h)summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 4017
## Degree 2: 1821; Degree 3: 180; Degree 4: 1402; Degree 5: 94; Degree 6: 367;
## Degree 7: 36; Degree 8: 116; Degree 12: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 6827
## Lengths:
## Min: 0.002834658 ; Max: 0.2743201 ; Total: 311.1441
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_6 class_5 class_4 class_0 class_3 class_1 upto1 upto3 upto4 upto5 upto6 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: TRUE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh:
## Max h_e: 0.04999798 ; Min n_e: 0
##
## Data:
## Columns: speed SpeedLimit
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0We get the value of the weights at mesh locations. This will allow us
to built matrices B.sigma and B.range below.
Again,
sf_graph$edgeweight_to_data(mesh = TRUE, add = FALSE, return = TRUE)
creates repeated information (because the data is grouped). We fix that
by filtering one group. We also standardize the SpeedLimit
covariate.
mesh = sf_graph$edgeweight_to_data(mesh = TRUE,
add = FALSE,
return = TRUE) %>%
filter(.group == 1) %>%
mutate(across(c("SpeedLimit"), ~standardize(.))) %>%
dplyr:::select.data.frame(SpeedLimit)summary(mesh)
## SpeedLimit
## Min. :-1.9800
## 1st Qu.:-0.1744
## Median :-0.1744
## Mean : 0.0000
## 3rd Qu.:-0.1744
## Max. : 5.1604load(here("Models_output/distmatrixfixed.RData"))
points = data %>%
as.data.frame() %>%
st_as_sf(coords = c(".coord_x", ".coord_y"), crs = 4326) %>%
mutate(., index = 1:nrow(.)) %>%
st_drop_geometry() %>%
dplyr:::select(speed, .group, index) %>%
mutate(.group = as.numeric(.group)) %>%
group_by(.group) %>%
mutate(indexingroup = seq_len(n())) %>%
ungroup()
distance = seq(from = 0, to = 400, by = 20)/1000
GROUPS <- list()
for (j in 1:length(distance)) {
print(j)
GROUPS[[j]] = list()
for (i in 1:nrow(points)) {
rowi = points[i, ]
GROUPS[[j]][[i]] <- which(as.vector(distmatrixlist[[rowi$.group]][rowi$indexingroup,]) <= distance[j])
}
}
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## [1] 212 Default priors
2.1 Stationary model
- Observe that we are considering replicates.
stat.time.ini <- Sys.time()
################################################################################
################################# STATIONARY MODEL #############################
################################################################################
rspde_model_stat <- rspde.metric_graph(sf_graph,
parameterization = "matern",
nu = 0.5)str(rspde_model_stat)
## List of 21
## $ f :List of 3
## ..$ model : chr "cgeneric"
## ..$ n : int 7169
## ..$ cgeneric:List of 5
## .. ..$ model: chr "inla_cgeneric_rspde_stat_int_model"
## .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. ..$ n : int 7169
## .. ..$ debug: logi FALSE
## .. ..$ data :List of 5
## .. .. ..$ ints :List of 5
## .. .. .. ..$ n : int 7169
## .. .. .. ..$ debug : int 0
## .. .. .. ..$ m_alpha : int 1
## .. .. .. ..$ graph_opt_i: int [1:16024] 0 0 0 1 1 1 1 1 1 2 ...
## .. .. .. ..$ graph_opt_j: int [1:16024] 0 1 985 1 1700 5207 5364 6858 7041 2 ...
## .. .. ..$ doubles :List of 4
## .. .. .. ..$ matrices_less : num [1:32048] 0.0797 0 0 0.1564 0 ...
## .. .. .. ..$ theta.prior.mean: num [1:2] 0 0.223
## .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. ..$ nu : num 0.5
## .. .. ..$ characters:List of 4
## .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. ..$ parameterization : chr "matern"
## .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. ..$ matrices :List of 1
## .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. ..$ smatrices : list()
## .. ..- attr(*, "class")= chr "inla.cgeneric"
## $ cgeneric_type : chr "int_alpha"
## $ nu : num 0.5
## $ theta.prior.mean : num [1:2] 0 0.223
## $ prior.nu :List of 4
## ..$ loglocation: num -5e-06
## ..$ mean : num 1
## ..$ prec : num 3
## ..$ logscale : num 1
## $ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## $ start.nu : num 0.5
## $ integer.nu : logi TRUE
## $ start.theta : num [1:2] 0 0.223
## $ stationary : logi TRUE
## $ rspde.order : num 2
## $ dim : num 1
## $ est_nu : logi FALSE
## $ nu.upper.bound : num 2
## $ prior.nu.dist : chr "lognormal"
## $ debug : logi FALSE
## $ type.rational.approx: chr "chebfun"
## $ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## $ fem_mesh :List of 4
## ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. ..@ factors : list()
## ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. ..@ factors : list()
## ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. ..@ factors : list()
## ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. ..@ factors : list()
## $ parameterization : chr "matern"
## $ n.spde : int 7169
## - attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"data_rspde_bru_stat <- graph_data_rspde(rspde_model_stat,
repl = ".all",
loc_name = "loc")str(data_rspde_bru_stat)
## List of 4
## $ data :List of 8
## ..$ speed : num [1:14534] 0 12.9 24.1 32.2 0 ...
## ..$ SpeedLimit : num [1:14534] -0.101 -0.617 -0.617 -0.617 -0.927 ...
## ..$ .coord_x : num [1:14534] -122 -122 -122 -122 -122 ...
## ..$ .coord_y : num [1:14534] 37.8 37.8 37.8 37.8 37.8 ...
## ..$ .edge_number : num [1:14534] 1 4 6 6 9 14 14 14 18 20 ...
## ..$ .distance_on_edge: num [1:14534] 0.437 0.144 0.252 0.658 0.601 ...
## ..$ .group : chr [1:14534] "1" "1" "1" "1" ...
## ..$ loc : num [1:14534, 1:2] 1 4 6 6 9 14 14 14 18 20 ...
## ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## $ index:List of 3
## ..$ field : int [1:28676] 1 2 3 4 5 6 7 8 9 10 ...
## ..$ field.group: int [1:28676] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ field.repl : int [1:28676] 1 1 1 1 1 1 1 1 1 1 ...
## ..- attr(*, "class")= chr [1:2] "inla_rspde_index" "list"
## ..- attr(*, "rspde.order")= num 0
## ..- attr(*, "integer_nu")= logi TRUE
## ..- attr(*, "n.mesh")= int 7169
## ..- attr(*, "name")= chr "field"
## ..- attr(*, "n.group")= int 1
## ..- attr(*, "n.repl")= int 4
## $ repl : chr [1:14534] "1" "1" "1" "1" ...
## $ basis:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. ..@ i : int [1:29068] 0 555 1905 1906 0 1050 1471 1472 1473 1905 ...
## .. ..@ p : int [1:28677] 0 4 11 11 11 11 12 13 15 15 ...
## .. ..@ Dim : int [1:2] 14534 28676
## .. ..@ Dimnames:List of 2
## .. .. ..$ : NULL
## .. .. ..$ : NULL
## .. ..@ x : num [1:29068] 0.563 0.0495 0.3595 0.7935 0.437 ...
## .. ..@ factors : list()cmp_stat = speed ~ -1 +
Intercept(1) +
SpeedLimit +
field(loc, model = rspde_model_stat,
replicate = data_rspde_bru_stat[["repl"]])
rspde_fit_stat <-
bru(cmp_stat,
data = data_rspde_bru_stat[["data"]],
family = "gaussian",
options = list(verbose = FALSE)
)str(rspde_fit_stat)
## List of 56
## $ names.fixed : chr [1:2] "Intercept" "SpeedLimit"
## $ summary.fixed :'data.frame': 2 obs. of 7 variables:
## ..$ mean : num [1:2] 20.88 3.06
## ..$ sd : num [1:2] 0.374 0.28
## ..$ 0.025quant: num [1:2] 20.16 2.52
## ..$ 0.5quant : num [1:2] 20.88 3.06
## ..$ 0.975quant: num [1:2] 21.6 3.6
## ..$ mode : num [1:2] 20.88 3.06
## ..$ kld : num [1:2] 8.51e-08 4.36e-07
## $ marginals.fixed :List of 2
## ..$ Intercept : num [1:43, 1:2] 19.2 19.5 19.7 20 20.2 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ SpeedLimit: num [1:43, 1:2] 2 2.11 2.25 2.43 2.52 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ summary.lincomb :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb : NULL
## $ size.lincomb : NULL
## $ summary.lincomb.derived :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb.derived : NULL
## $ size.lincomb.derived : NULL
## $ mlik : num [1:2, 1] -55593 -55592
## ..- attr(*, "dimnames")=List of 2
## .. ..$ : chr [1:2] "log marginal-likelihood (integration)" "log marginal-likelihood (Gaussian)"
## .. ..$ : NULL
## $ cpo :List of 3
## ..$ cpo : logi(0)
## ..$ pit : logi(0)
## ..$ failure: logi(0)
## $ gcpo :List of 5
## ..$ gcpo : NULL
## ..$ kld : NULL
## ..$ mean : NULL
## ..$ sd : NULL
## ..$ groups: NULL
## $ po :List of 1
## ..$ po: num [1:14534] 0.00814 0.03515 0.03594 0.03166 0.02283 ...
## $ waic :List of 4
## ..$ waic : num 108688
## ..$ p.eff : num 2627
## ..$ local.waic : num [1:14534] 10.69 6.99 6.88 7.56 8.94 ...
## ..$ local.p.eff: num [1:14534] 0.532 0.146 0.114 0.326 0.688 ...
## $ residuals :List of 1
## ..$ deviance.residuals: num [1:14534] -1.956 -0.737 0.69 0.931 -1.336 ...
## $ model.random : chr "CGeneric"
## $ summary.random :List of 1
## ..$ field:'data.frame': 28676 obs. of 8 variables:
## .. ..$ ID : num [1:28676] 1 2 3 4 5 6 7 8 9 10 ...
## .. ..$ mean : num [1:28676] -2.789 -3.362 -0.694 -0.328 -0.459 ...
## .. ..$ sd : num [1:28676] 5.1 3.57 7.03 7.68 8.48 ...
## .. ..$ 0.025quant: num [1:28676] -12.8 -10.4 -14.5 -15.4 -17.1 ...
## .. ..$ 0.5quant : num [1:28676] -2.785 -3.362 -0.694 -0.328 -0.459 ...
## .. ..$ 0.975quant: num [1:28676] 7.2 3.65 13.09 14.73 16.16 ...
## .. ..$ mode : num [1:28676] -2.785 -3.362 -0.694 -0.328 -0.459 ...
## .. ..$ kld : num [1:28676] 1.71e-10 1.98e-11 4.17e-13 4.44e-13 5.65e-13 ...
## $ marginals.random :List of 1
## ..$ field:List of 28676
## .. ..$ index.1 : num [1:43, 1:2] -24.7 -21.9 -18.6 -14.7 -12.8 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.2 : num [1:43, 1:2] -18.6 -16.7 -14.4 -11.7 -10.4 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.3 : num [1:43, 1:2] -30.7 -26.9 -22.5 -17.1 -14.5 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.4 : num [1:43, 1:2] -33.1 -29 -24.1 -18.2 -15.4 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.5 : num [1:43, 1:2] -36.7 -32.1 -26.7 -20.2 -17.1 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.6 : num [1:43, 1:2] -34.7 -30.8 -26.3 -20.9 -18.3 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.7 : num [1:43, 1:2] -25.8 -22.3 -18.3 -13.5 -11.2 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.8 : num [1:43, 1:2] -18.91 -16.35 -13.39 -9.79 -8.06 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.9 : num [1:43, 1:2] -38 -33.3 -27.9 -21.3 -18.2 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.10 : num [1:43, 1:2] -37.7 -32.9 -27.3 -20.5 -17.3 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.11 : num [1:43, 1:2] -43 -37.4 -30.9 -23 -19.2 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.12 : num [1:43, 1:2] -48 -41.7 -34.3 -25.4 -21.1 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.13 : num [1:43, 1:2] -26.3 -23.2 -19.6 -15.3 -13.2 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.16 : num [1:43, 1:2] -27 -23.5 -19.4 -14.5 -12.2 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.17 : num [1:43, 1:2] -14.83 -12.74 -10.31 -7.35 -5.94 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.18 : num [1:43, 1:2] -32.2 -27.9 -23 -17.1 -14.3 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.19 : num [1:43, 1:2] -23.8 -20.7 -17 -12.6 -10.4 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.20 : num [1:43, 1:2] -42.5 -37 -30.5 -22.7 -19 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.21 : num [1:43, 1:2] -51.2 -44.5 -36.6 -27.2 -22.6 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.22 : num [1:43, 1:2] -42.3 -36.6 -30 -22.1 -18.3 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.23 : num [1:43, 1:2] -46.6 -40.7 -33.9 -25.6 -21.6 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.24 : num [1:43, 1:2] -46.4 -40.5 -33.7 -25.4 -21.5 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.25 : num [1:43, 1:2] -26.85 -22.56 -17.58 -11.54 -8.64 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.26 : num [1:43, 1:2] -16 -13.59 -10.78 -7.38 -5.75 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.27 : num [1:43, 1:2] -45.2 -39.7 -33.2 -25.4 -21.6 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.28 : num [1:43, 1:2] -39.6 -34.6 -28.9 -21.9 -18.6 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.29 : num [1:43, 1:2] -27 -24.5 -21.6 -18.1 -16.4 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.30 : num [1:43, 1:2] -12.07 -9.46 -6.45 -2.78 -1.02 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.31 : num [1:43, 1:2] -41 -36.2 -30.6 -23.9 -20.6 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.33 : num [1:43, 1:2] -48.2 -42.3 -35.5 -27.2 -23.3 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.34 : num [1:43, 1:2] -23.5 -20.9 -17.9 -14.3 -12.6 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.35 : num [1:43, 1:2] -56.1 -48.9 -40.7 -30.6 -25.8 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.36 : num [1:43, 1:2] -43.5 -37.9 -31.4 -23.5 -19.7 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.37 : num [1:43, 1:2] -57 -49.7 -41.4 -31.2 -26.4 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.38 : num [1:43, 1:2] -56.7 -49.5 -41.2 -31.2 -26.3 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.39 : num [1:43, 1:2] -52.9 -46.3 -38.6 -29.3 -24.8 ...
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## .. .. [list output truncated]
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## .. ..$ n : num 7169
## .. ..$ N : num 7169
## .. ..$ Ntotal: num 28676
## .. ..$ ngroup: num 1
## .. ..$ nrep : num 4
## $ summary.linear.predictor :'data.frame': 43212 obs. of 7 variables:
## ..$ mean : num [1:43212] 17.5 15.1 23.3 27 10.6 ...
## ..$ sd : num [1:43212] 3.44 6.36 6.24 6.78 6.07 ...
## ..$ 0.025quant: num [1:43212] 10.78 2.6 11.03 13.75 -1.32 ...
## ..$ 0.5quant : num [1:43212] 17.5 15.1 23.3 27 10.6 ...
## ..$ 0.975quant: num [1:43212] 24.3 27.5 35.5 40.3 22.5 ...
## ..$ mode : num [1:43212] 17.5 15.1 23.3 27 10.6 ...
## ..$ kld : num [1:43212] 1.03e-10 3.11e-11 2.57e-11 3.27e-11 1.09e-10 ...
## $ marginals.linear.predictor : NULL
## $ summary.fitted.values :'data.frame': 43212 obs. of 6 variables:
## ..$ mean : num [1:43212] 17.5 15.1 23.3 27 10.6 ...
## ..$ sd : num [1:43212] 3.44 6.36 6.24 6.78 6.07 ...
## ..$ 0.025quant: num [1:43212] 10.78 2.6 11.03 13.75 -1.32 ...
## ..$ 0.5quant : num [1:43212] 17.5 15.1 23.3 27 10.6 ...
## ..$ 0.975quant: num [1:43212] 24.3 27.5 35.5 40.3 22.5 ...
## ..$ mode : num [1:43212] 17.5 15.1 23.3 27 10.6 ...
## $ marginals.fitted.values : NULL
## $ size.linear.predictor :List of 5
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## ..$ N : num 28678
## ..$ Ntotal: num 43212
## ..$ ngroup: num 1
## ..$ nrep : num 2
## $ summary.hyperpar :'data.frame': 3 obs. of 6 variables:
## ..$ mean : num [1:3] 0.012 2.853 -1.089
## ..$ sd : num [1:3] 0.000186 0.070069 0.216523
## ..$ 0.025quant: num [1:3] 0.0116 2.7174 -1.5084
## ..$ 0.5quant : num [1:3] 0.012 2.852 -1.092
## ..$ 0.975quant: num [1:3] 0.0124 2.9933 -0.6559
## ..$ mode : num [1:3] 0.012 2.849 -1.102
## $ marginals.hyperpar :List of 3
## ..$ Precision for the Gaussian observations: num [1:43, 1:2] 0.0112 0.0113 0.0114 0.0116 0.0116 ...
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## ..$ Theta1 for field : num [1:43, 1:2] 2.56 2.6 2.64 2.69 2.72 ...
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## $ internal.summary.hyperpar :'data.frame': 3 obs. of 6 variables:
## ..$ mean : num [1:3] -4.42 2.85 -1.09
## ..$ sd : num [1:3] 0.0155 0.0701 0.2165
## ..$ 0.025quant: num [1:3] -4.45 2.72 -1.51
## ..$ 0.5quant : num [1:3] -4.42 2.85 -1.09
## ..$ 0.975quant: num [1:3] -4.394 2.993 -0.656
## ..$ mode : num [1:3] -4.42 2.85 -1.1
## $ internal.marginals.hyperpar:List of 3
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## ..$ Theta1 for field : num [1:43, 1:2] 2.56 2.6 2.64 2.69 2.72 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta2 for field : num [1:43, 1:2] -1.99 -1.88 -1.75 -1.59 -1.51 ...
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## .. ..- attr(*, "dimnames")=List of 2
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## .. .. ..$ : chr [1:2] "x" "y"
## $ offset.linear.predictor : num [1:43212] 0 0 0 0 0 0 0 0 0 0 ...
## $ model.spde2.blc : NULL
## $ summary.spde2.blc : list()
## $ marginals.spde2.blc : NULL
## $ size.spde2.blc : NULL
## $ model.spde3.blc : NULL
## $ summary.spde3.blc : list()
## $ marginals.spde3.blc : NULL
## $ size.spde3.blc : NULL
## $ logfile : chr [1:590] "[PANUA] PARDISO License is expired." "[PANUA] Please obtain a new PARDISO license at https://www.panua.ch/products/pardiso" " Read ntt 24 1 with max.threads 24" " Found num.threads = 24:1 max_threads = 24" ...
## $ misc :List of 22
## ..$ cov.intern : num [1:3, 1:3] 0.000242 -0.000223 -0.001012 -0.000223 0.004901 ...
## ..$ cor.intern : num [1:3, 1:3] 1 -0.205 -0.301 -0.205 1 ...
## ..$ cov.intern.eigenvalues : num [1:3] 0.000167 0.000374 0.051376
## ..$ cov.intern.eigenvectors : num [1:3, 1:3] 0.86 -0.482 0.169 -0.51 -0.824 ...
## ..$ reordering : int [1:28678] 22718 23110 23638 23617 23591 23621 23627 23637 22649 22673 ...
## ..$ theta.tags : chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## ..$ log.posterior.mode : num -55585
## ..$ stdev.corr.negative : num [1:3] 0.999 0.993 0.961
## ..$ stdev.corr.positive : num [1:3] 1 1.01 1.04
## ..$ to.theta :List of 3
## .. ..$ Log precision for the Gaussian observations:function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## ..$ from.theta :List of 3
## .. ..$ Log precision for the Gaussian observations:function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## ..$ mode.status : num 0
## ..$ lincomb.derived.correlation.matrix: NULL
## ..$ lincomb.derived.covariance.matrix : NULL
## ..$ opt.directions : num [1:3, 1:3] -0.434 0.645 -0.63 -0.68 0.225 ...
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## .. .. ..$ : chr [1:3] "dir:1" "dir:2" "dir:3"
## ..$ configs :List of 17
## .. ..$ .preopt : logi TRUE
## .. ..$ lite : logi FALSE
## .. ..$ mpred : int 14534
## .. ..$ npred : int 28678
## .. ..$ mnpred : int 43212
## .. ..$ Npred : int 14534
## .. ..$ n : int 28678
## .. ..$ nz : int 80857
## .. ..$ prior_nz : int 64098
## .. ..$ ntheta : int 3
## .. ..$ nconfig : int 15
## .. ..$ offsets : num [1:43212] 0 0 0 0 0 0 0 0 0 0 ...
## .. ..$ contents :List of 3
## .. .. ..$ tag : chr [1:5] "APredictor" "Predictor" "field" "Intercept" ...
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## .. .. ..$ length: int [1:5] 14534 28678 28676 1 1
## .. ..$ A :Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. ..@ i : int [1:28678] 2 3 4 5 6 7 8 9 10 11 ...
## .. .. .. ..@ j : int [1:28678] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. ..$ : NULL
## .. .. .. .. ..$ : NULL
## .. .. .. ..@ x : num [1:28678] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ pA :Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. ..@ i : int [1:58122] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. ..@ j : int [1:58122] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. ..@ Dim : int [1:2] 14534 28678
## .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. ..$ : NULL
## .. .. .. .. ..$ : NULL
## .. .. .. ..@ x : num [1:58122] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ config :List of 15
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.42 2.85 -1.1
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -3.41
## .. .. .. ..$ log.posterior.orig: num 0
## .. .. .. ..$ mean : num [1:28678] -2.774 -3.361 -0.724 -0.355 -0.49 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.774 -3.361 -0.724 -0.355 -0.49 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04185 -0.00764 0.09807 0.09238 -0.03507 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.94 2.57 12.77 49.6 41.72 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0289 -0.0153 0.0618 0.0924 -0.0351 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2102 -0.026 0.0104 0.0617 -0.127 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.5 15 23.3 27 10.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.88 3.062 -2.774 -3.361 -0.724 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.4 2.84 -1.1
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.49
## .. .. .. ..$ log.posterior.orig: num -1.82
## .. .. .. ..$ mean : num [1:28678] -2.754 -3.354 -0.725 -0.355 -0.489 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.754 -3.354 -0.725 -0.355 -0.489 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04294 -0.00791 0.10059 0.09499 -0.03607 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.3 2.53 12.46 48.32 40.65 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0297 -0.0157 0.0635 0.095 -0.0361 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2149 -0.0266 0.0107 0.0632 -0.13 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.6 15 23.3 27 10.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.879 3.061 -2.754 -3.354 -0.725 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.45 2.86 -1.11
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.48
## .. .. .. ..$ log.posterior.orig: num -1.81
## .. .. .. ..$ mean : num [1:28678] -2.794 -3.367 -0.723 -0.353 -0.49 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.794 -3.367 -0.723 -0.353 -0.49 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0408 -0.00738 0.09563 0.08985 -0.03411 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 26.6 2.61 13.07 50.91 42.81 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0281 -0.0149 0.0601 0.0899 -0.0341 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2057 -0.0254 0.0101 0.0602 -0.124 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.5 15 23.3 27.1 10.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.88 3.063 -2.794 -3.367 -0.723 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.44 2.82 -1.09
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.48
## .. .. .. ..$ log.posterior.orig: num -1.81
## .. .. .. ..$ mean : num [1:28678] -2.487 -3.241 -0.728 -0.361 -0.489 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.487 -3.241 -0.728 -0.361 -0.489 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0437 -0.0089 0.1019 0.0991 -0.0376 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.1 2.8 12.5 46.5 39.2 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.031 -0.0164 0.0662 0.0991 -0.0376 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2085 -0.0263 0.0116 0.0636 -0.1286 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.7 15.1 23.1 26.8 10.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.857 3.115 -2.487 -3.241 -0.728 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.41 2.88 -1.11
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.49
## .. .. .. ..$ log.posterior.orig: num -1.82
## .. .. .. ..$ mean : num [1:28678] -3.067 -3.473 -0.72 -0.348 -0.489 ...
## .. .. .. ..$ improved.mean : num [1:28678] -3.067 -3.473 -0.72 -0.348 -0.489 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04018 -0.00647 0.09465 0.08622 -0.03272 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 26.81 2.32 13.02 52.86 44.41 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.027 -0.0143 0.0577 0.0862 -0.0327 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2119 -0.02566 0.00923 0.05978 -0.12511 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.4 15 23.4 27.3 10.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.9 3.01 -3.07 -3.47 -0.72 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.433 2.984 -0.674
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.91
## .. .. .. ..$ log.posterior.orig: num -2.24
## .. .. .. ..$ mean : num [1:28678] -2.419 -3.361 -0.638 -0.293 -0.325 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.419 -3.361 -0.638 -0.293 -0.325 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0462 -0.0104 0.1074 0.1076 -0.0411 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 24.1 3.1 12.2 48.4 41.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0334 -0.018 0.0714 0.1076 -0.0411 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21252 -0.0275 0.00926 0.06347 -0.13289 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.9 15.2 23.4 26.8 11.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.992 2.654 -2.419 -3.361 -0.638 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.42 2.72 -1.5
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.95
## .. .. .. ..$ log.posterior.orig: num -2.28
## .. .. .. ..$ mean : num [1:28678] -3.117 -3.32 -0.569 -0.206 -0.413 ...
## .. .. .. ..$ improved.mean : num [1:28678] -3.117 -3.32 -0.569 -0.206 -0.413 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.03884 -0.00548 0.09157 0.08091 -0.03027 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 27.42 2.01 13.14 46.98 38.41 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0258 -0.0132 0.055 0.0809 -0.0303 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2081 -0.0276 0.0122 0.0613 -0.122 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.2 15.2 23.1 27.1 10.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.775 3.508 -3.117 -3.32 -0.569 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.42 2.8 -1.34
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.18
## .. .. .. ..$ log.posterior.orig: num -1.51
## .. .. .. ..$ mean : num [1:28678] -3.154 -3.407 -0.655 -0.281 -0.469 ...
## .. .. .. ..$ improved.mean : num [1:28678] -3.154 -3.407 -0.655 -0.281 -0.469 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0385 -0.0056 0.0909 0.0808 -0.0305 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 27.74 2.12 13.34 51.12 42.35 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0255 -0.0133 0.0545 0.0808 -0.0305 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2073 -0.0262 0.0104 0.0593 -0.1213 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.2 15.1 23.3 27.3 10.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.832 3.287 -3.154 -3.407 -0.655 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.431 2.951 -0.863
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.15
## .. .. .. ..$ log.posterior.orig: num -1.47
## .. .. .. ..$ mean : num [1:28678] -2.742 -3.44 -0.705 -0.349 -0.426 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.742 -3.44 -0.705 -0.349 -0.426 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04251 -0.00826 0.09947 0.09532 -0.03636 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.74 2.78 12.79 51.99 44.18 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0297 -0.0159 0.0634 0.0953 -0.0364 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2099 -0.02577 0.00894 0.06072 -0.12762 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.6 15 23.4 27.1 10.7 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.958 2.781 -2.742 -3.44 -0.705 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.44 2.77 -1.33
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.6
## .. .. .. ..$ log.posterior.orig: num -1.93
## .. .. .. ..$ mean : num [1:28678] -2.812 -3.28 -0.659 -0.288 -0.469 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.812 -3.28 -0.659 -0.288 -0.469 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04035 -0.00688 0.09464 0.08756 -0.03301 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 26.71 2.42 13.03 47.5 39.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0277 -0.0144 0.059 0.0876 -0.033 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2054 -0.0265 0.0117 0.0615 -0.1234 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.5 15.1 23.1 27 10.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.806 3.346 -2.812 -3.28 -0.659 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.453 2.916 -0.853
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.62
## .. .. .. ..$ log.posterior.orig: num -1.95
## .. .. .. ..$ mean : num [1:28678] -2.416 -3.3 -0.709 -0.355 -0.425 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.416 -3.3 -0.709 -0.355 -0.425 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04471 -0.00975 0.10399 0.10331 -0.03941 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 24.75 3.04 12.5 48.27 41.07 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0322 -0.0172 0.0687 0.1033 -0.0394 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2079 -0.0262 0.0103 0.0628 -0.1295 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.8 15.1 23.3 26.8 11.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.933 2.843 -2.416 -3.3 -0.709 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.4 2.79 -1.33
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.49
## .. .. .. ..$ log.posterior.orig: num -1.82
## .. .. .. ..$ mean : num [1:28678] -3.129 -3.4 -0.657 -0.283 -0.47 ...
## .. .. .. ..$ improved.mean : num [1:28678] -3.129 -3.4 -0.657 -0.283 -0.47 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.03966 -0.00585 0.09356 0.08345 -0.03145 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 26.96 2.09 12.97 49.63 41.13 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0264 -0.0137 0.0562 0.0834 -0.0315 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2126 -0.0269 0.0107 0.061 -0.1246 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.3 15.1 23.3 27.2 10.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.831 3.286 -3.129 -3.4 -0.657 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.406 2.937 -0.858
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.5
## .. .. .. ..$ log.posterior.orig: num -1.83
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## ..$ Total integration weight (log.dens included): num [1:15] 0.1836 0.0621 0.0629 0.0627 0.0621 ...
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## .. .. .. .. .. ..$ characters:List of 4
## .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. ..$ parameterization : chr "matern"
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## .. .. ..$ nu : num 0.5
## .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. ..$ prior.nu :List of 4
## .. .. .. ..$ loglocation: num -5e-06
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## .. .. .. ..$ logscale : num 1
## .. .. ..$ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
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## .. .. ..$ integer.nu : logi TRUE
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## .. .. ..$ stationary : logi TRUE
## .. .. ..$ rspde.order : num 2
## .. .. ..$ dim : num 1
## .. .. ..$ est_nu : logi FALSE
## .. .. ..$ nu.upper.bound : num 2
## .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. ..$ debug : logi FALSE
## .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta2 :List of 11
## .. .. .. ..$ hyperid : num 103002
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta2"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b2"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[2] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[2] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta3 :List of 11
## .. .. .. ..$ hyperid : num 103003
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta3"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b3"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[3] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[3] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta4 :List of 11
## .. .. .. ..$ hyperid : num 103004
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta4"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b4"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[4] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[4] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta5 :List of 11
## .. .. .. ..$ hyperid : num 103005
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta5"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b5"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[5] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[5] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta6 :List of 11
## .. .. .. ..$ hyperid : num 103006
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta6"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b6"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[6] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[6] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta7 :List of 11
## .. .. .. ..$ hyperid : num 103007
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta7"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b7"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[7] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[7] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta8 :List of 11
## .. .. .. ..$ hyperid : num 103008
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta8"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b8"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[8] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[8] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta9 :List of 11
## .. .. .. ..$ hyperid : num 103009
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta9"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b9"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[9] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[9] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta10 :List of 11
## .. .. .. ..$ hyperid : num 103010
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta10"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b10"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[10] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[10] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta11 :List of 11
## .. .. .. ..$ hyperid : num 103011
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta11"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b11"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[11] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[11] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta12 :List of 11
## .. .. .. ..$ hyperid : num 103012
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta12"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b12"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[12] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[12] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta13 :List of 11
## .. .. .. ..$ hyperid : num 103013
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta13"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b13"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[13] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[13] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta14 :List of 11
## .. .. .. ..$ hyperid : num 103014
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta14"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b14"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[14] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[14] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta15 :List of 11
## .. .. .. ..$ hyperid : num 103015
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta15"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b15"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[15] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[15] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta16 :List of 11
## .. .. .. ..$ hyperid : num 103016
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta16"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b16"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[16] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[16] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta17 :List of 11
## .. .. .. ..$ hyperid : num 103017
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta17"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b17"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[17] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[17] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta18 :List of 11
## .. .. .. ..$ hyperid : num 103018
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta18"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b18"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[18] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[18] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta19 :List of 11
## .. .. .. ..$ hyperid : num 103019
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta19"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b19"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[20] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[20] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b21"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[21] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[21] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b22"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[22] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[22] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ name : chr "beta23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[23] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[23] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta24 :List of 11
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## .. .. .. ..$ name : chr "beta24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[24] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[24] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta25 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b25"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[25] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[25] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta26 :List of 11
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## .. .. .. ..$ name : chr "beta26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[26] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[26] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta27 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[27] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[27] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. ..$ theta28 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[28] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[28] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta29 :List of 11
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## .. .. .. ..$ name : chr "beta29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta30 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[30] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta31 :List of 11
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## .. .. .. ..$ name : chr "beta31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. ..$ theta32 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta33 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta34 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta35 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta36 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta37 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta38 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta39 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta40 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta41 :List of 11
## .. .. .. ..$ hyperid : num 103041
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta42 :List of 11
## .. .. .. ..$ hyperid : num 103042
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[42] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[42] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta43 :List of 11
## .. .. .. ..$ hyperid : num 103043
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta43"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b43"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[43] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[43] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta44 :List of 11
## .. .. .. ..$ hyperid : num 103044
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta44"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b44"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[44] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[44] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta45 :List of 11
## .. .. .. ..$ hyperid : num 103045
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta45"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b45"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[45] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[45] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta46 :List of 11
## .. .. .. ..$ hyperid : num 103046
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta46"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b46"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[46] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[46] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta47 :List of 11
## .. .. .. ..$ hyperid : num 103047
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta47"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b47"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[47] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[47] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta48 :List of 11
## .. .. .. ..$ hyperid : num 103048
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta48"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b48"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[48] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[48] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta49 :List of 11
## .. .. .. ..$ hyperid : num 103049
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta49"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b49"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[49] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[49] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta50 :List of 11
## .. .. .. ..$ hyperid : num 103050
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta50"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b50"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[50] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[50] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta51 :List of 11
## .. .. .. ..$ hyperid : num 103051
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta51"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b51"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[51] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[51] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta52 :List of 11
## .. .. .. ..$ hyperid : num 103052
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta52"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b52"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[52] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[52] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta53 :List of 11
## .. .. .. ..$ hyperid : num 103053
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta53"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b53"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[53] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[53] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta54 :List of 11
## .. .. .. ..$ hyperid : num 103054
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta54"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b54"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[54] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[54] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[56] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[56] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[57] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[57] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b58"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[58] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[58] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b59"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[59] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[59] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[60] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[60] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ name : chr "beta61"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b61"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[61] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[61] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. ..$ theta62 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta62"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b62"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[62] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[62] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta63 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta63"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b63"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[63] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[63] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta64 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b64"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[64] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[64] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta65 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta65"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b65"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[65] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[65] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta66 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b66"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[66] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[66] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta67 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b67"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[67] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[67] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. ..$ theta68 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b68"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[68] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[68] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta69 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b69"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[69] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[69] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta70 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta70"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b70"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[70] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[70] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta71 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta71"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b71"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[71] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[71] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta72 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta72"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ output.name : chr "beta[78] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b79"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[79] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[79] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta80 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[80] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[80] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta81 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b81"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[81] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[81] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b82"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[82] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[82] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta83 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b83"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[83] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[83] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[84] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[84] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b85"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[85] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[85] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta86 :List of 11
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## .. .. .. ..$ short.name : chr "b86"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[86] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[86] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta87 :List of 11
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## .. .. .. ..$ name : chr "beta87"
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## .. .. .. ..$ short.name : chr "b87"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[87] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[87] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta88 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta88"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b88"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[88] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[88] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta89 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta89"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b89"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[89] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[89] for lp_scale"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x5e7d4223ff20>
## .. .. .. ..$ fcall : language "f"(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main : list()
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_linear" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ group :List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ replicate:List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. ..$ n_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 1
## .. .. .. .. .. .. ..$ n_inla : num 1
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 1 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..$ SpeedLimit:List of 12
## .. .. .. ..$ label : chr "SpeedLimit"
## .. .. .. ..$ inla.formula:Class 'formula' language ~. + f(SpeedLimit, model = BRU_SpeedLimit_main_model, ngroup = 1, nrep = 1, values = BRU_SpeedLimit_values)
## .. .. .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. .. .. ..$ main :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : symbol SpeedLimit
## .. .. .. .. .. ..$ label : chr "SpeedLimit"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper : list()
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_linear" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "linear"
## .. .. .. .. ..$ type : chr "linear"
## .. .. .. .. ..$ n : int 1
## .. .. .. .. ..$ values : num 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ group :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "SpeedLimit.group"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "exchangeable"
## .. .. .. .. ..$ type : chr "exchangeable"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "SpeedLimit.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x5e7d42220d58>
## .. .. .. ..$ fcall : language "f"(SpeedLimit, model = BRU_SpeedLimit_main_model, ngroup = 1, nrep = 1, values = BRU_SpeedLimit_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main : list()
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_linear" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ group :List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ replicate:List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. ..$ n_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 1
## .. .. .. .. .. .. ..$ n_inla : num 1
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 1 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..$ field :List of 12
## .. .. .. ..$ label : chr "field"
## .. .. .. ..$ inla.formula:Class 'formula' language ~. + f(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. .. .. ..$ main :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : symbol loc
## .. .. .. .. .. ..$ label : chr "field"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ model:List of 21
## .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. ..$ m_alpha : int 1
## .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:16024] 0 0 0 1 1 1 1 1 1 2 ...
## .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:16024] 0 1 985 1 1700 5207 5364 6858 7041 2 ...
## .. .. .. .. .. .. .. .. .. ..$ doubles :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ matrices_less : num [1:32048] 0.0797 0 0 0.1564 0 ...
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean: num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. .. .. .. ..$ characters:List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. ..$ matrices :List of 1
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. .. ..$ smatrices : list()
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. ..$ cgeneric_type : chr "int_alpha"
## .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. ..$ loglocation: num -5e-06
## .. .. .. .. .. .. .. ..$ mean : num 1
## .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. ..$ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## .. .. .. .. .. .. ..$ start.nu : num 0.5
## .. .. .. .. .. .. ..$ integer.nu : logi TRUE
## .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. .. ..$ stationary : logi TRUE
## .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. ..$ est_nu : logi FALSE
## .. .. .. .. .. .. ..$ nu.upper.bound : num 2
## .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. ..$ fem_mesh :List of 4
## .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. ..$ model :List of 21
## .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. ..$ m_alpha : int 1
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:16024] 0 0 0 1 1 1 1 1 1 2 ...
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:16024] 0 1 985 1 1700 5207 5364 6858 7041 2 ...
## .. .. .. .. .. .. .. .. ..$ doubles :List of 4
## .. .. .. .. .. .. .. .. .. ..$ matrices_less : num [1:32048] 0.0797 0 0 0.1564 0 ...
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean: num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. .. .. ..$ characters:List of 4
## .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. ..$ matrices :List of 1
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. ..$ smatrices : list()
## .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. ..$ cgeneric_type : chr "int_alpha"
## .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. ..$ loglocation: num -5e-06
## .. .. .. .. .. .. ..$ mean : num 1
## .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. ..$ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## .. .. .. .. .. ..$ start.nu : num 0.5
## .. .. .. .. .. ..$ integer.nu : logi TRUE
## .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. ..$ stationary : logi TRUE
## .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. ..$ est_nu : logi FALSE
## .. .. .. .. .. ..$ nu.upper.bound : num 2
## .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. ..$ fem_mesh :List of 4
## .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. ..$ type : chr "cgeneric"
## .. .. .. .. ..$ n : num 7169
## .. .. .. .. ..$ values : int [1:7169] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ group :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "field.group"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "exchangeable"
## .. .. .. .. ..$ type : chr "exchangeable"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : language data_rspde_bru_stat[["repl"]]
## .. .. .. .. .. ..$ label : chr "field.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 4
## .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : int 4
## .. .. .. .. ..$ values : int [1:4] 1 2 3 4
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x5e7d4220a578>
## .. .. .. ..$ fcall : language "f"(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main :List of 1
## .. .. .. .. .. .. .. .. ..$ model:List of 21
## .. .. .. .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ m_alpha : int 1
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:16024] 0 0 0 1 1 1 1 1 1 2 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:16024] 0 1 985 1 1700 5207 5364 6858 7041 2 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ doubles :List of 4
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices_less : num [1:32048] 0.0797 0 0 0.1564 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean: num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ characters:List of 4
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices :List of 1
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ smatrices : list()
## .. .. .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. .. .. .. ..$ cgeneric_type : chr "int_alpha"
## .. .. .. .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ loglocation: num -5e-06
## .. .. .. .. .. .. .. .. .. .. ..$ mean : num 1
## .. .. .. .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.5
## .. .. .. .. .. .. .. .. .. ..$ integer.nu : logi TRUE
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. ..$ stationary : logi TRUE
## .. .. .. .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. .. .. .. ..$ est_nu : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 2
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. .. .. .. ..$ fem_mesh :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
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## .. .. .. .. .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
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## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ group :List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ replicate:List of 4
## .. .. .. .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. .. .. ..$ n_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 7169
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 7169
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:7169] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:7169] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 28676
## .. .. .. .. .. .. ..$ n_inla : num 28676
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 28676 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 28676
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..- attr(*, "class")= chr [1:2] "component_list" "list"
## .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..$ formula:Class 'formula' language BRU_response ~ f(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_v| __truncated__ ...
## .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..- attr(*, "class")= chr [1:2] "bru_model" "list"
## ..$ lhoods :List of 1
## .. ..$ :List of 17
## .. .. ..$ family : chr "gaussian"
## .. .. ..$ formula :Class 'formula' language speed ~ .
## .. .. .. .. ..- attr(*, ".Environment")=<environment: 0x5e7d42669ad8>
## .. .. ..$ response_data :List of 4
## .. .. .. ..$ BRU_response: num [1:14534] 0 12.9 24.1 32.2 0 ...
## .. .. .. ..$ BRU_E : num 1
## .. .. .. ..$ BRU_Ntrials : num 1
## .. .. .. ..$ BRU_scale : num 1
## .. .. ..$ data :List of 8
## .. .. .. ..$ speed : num [1:14534] 0 12.9 24.1 32.2 0 ...
## .. .. .. ..$ SpeedLimit : num [1:14534] -0.101 -0.617 -0.617 -0.617 -0.927 ...
## .. .. .. ..$ .coord_x : num [1:14534] -122 -122 -122 -122 -122 ...
## .. .. .. ..$ .coord_y : num [1:14534] 37.8 37.8 37.8 37.8 37.8 ...
## .. .. .. ..$ .edge_number : num [1:14534] 1 4 6 6 9 14 14 14 18 20 ...
## .. .. .. ..$ .distance_on_edge: num [1:14534] 0.437 0.144 0.252 0.658 0.601 ...
## .. .. .. ..$ .group : chr [1:14534] "1" "1" "1" "1" ...
## .. .. .. ..$ loc : num [1:14534, 1:2] 1 4 6 6 9 14 14 14 18 20 ...
## .. .. .. ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## .. .. ..$ E : num 1
## .. .. ..$ Ntrials : num 1
## .. .. ..$ weights : num 1
## .. .. ..$ scale : num 1
## .. .. ..$ samplers : NULL
## .. .. ..$ linear : logi TRUE
## .. .. ..$ expr : NULL
## .. .. ..$ response : chr "BRU_response"
## .. .. ..$ inla.family : chr "gaussian"
## .. .. ..$ domain : NULL
## .. .. ..$ used :List of 2
## .. .. .. ..$ effect: chr [1:3] "Intercept" "SpeedLimit" "field"
## .. .. .. ..$ latent: chr(0)
## .. .. .. ..- attr(*, "class")= chr "bru_used"
## .. .. ..$ allow_combine : logi TRUE
## .. .. ..$ control.family: NULL
## .. .. ..- attr(*, "class")= chr [1:2] "bru_like" "list"
## .. ..- attr(*, "class")= chr [1:2] "bru_like_list" "list"
## ..$ options :List of 14
## .. ..$ bru_verbose : num 0
## .. ..$ bru_verbose_store: num Inf
## .. ..$ bru_max_iter : num 1
## .. ..$ bru_run : logi TRUE
## .. ..$ bru_int_args :List of 3
## .. .. ..$ method: chr "stable"
## .. .. ..$ nsub1 : num 30
## .. .. ..$ nsub2 : num 9
## .. ..$ bru_method :List of 6
## .. .. ..$ taylor : chr "pandemic"
## .. .. ..$ search : chr "all"
## .. .. ..$ factor : num 1.62
## .. .. ..$ rel_tol : num 0.1
## .. .. ..$ max_step : num 2
## .. .. ..$ line_opt_method: chr "onestep"
## .. ..$ bru_compress_cp : logi TRUE
## .. ..$ bru_debug : logi FALSE
## .. ..$ E : num 1
## .. ..$ Ntrials : num 1
## .. ..$ control.compute :List of 3
## .. .. ..$ config: logi TRUE
## .. .. ..$ dic : logi TRUE
## .. .. ..$ waic : logi TRUE
## .. ..$ control.inla :List of 1
## .. .. ..$ int.strategy: chr "auto"
## .. ..$ control.fixed :List of 1
## .. .. ..$ expand.factor.strategy: chr "inla"
## .. ..$ verbose : logi FALSE
## .. ..- attr(*, "class")= chr [1:2] "bru_options" "list"
## ..$ inlabru_version: Named chr "2.10.1.9004"
## .. ..- attr(*, "names")= chr "version"
## ..$ INLA_version : Named chr "24.04.22"
## .. ..- attr(*, "names")= chr "version"
## ..- attr(*, "class")= chr [1:2] "bru_info" "list"
## - attr(*, "class")= chr [1:3] "bru" "iinla" "inla"stat.time.fin <- Sys.time()
print(stat.time.fin - stat.time.ini)## Time difference of 29.29834 secssummary(rspde_fit_stat)## inlabru version: 2.10.1.9004
## INLA version: 24.04.22
## Components:
## Intercept: main = linear(1), group = exchangeable(1L), replicate = iid(1L)
## SpeedLimit: main = linear(SpeedLimit), group = exchangeable(1L), replicate = iid(1L)
## field: main = cgeneric(loc), group = exchangeable(1L), replicate = iid(data_rspde_bru_stat[["repl"]])
## Likelihoods:
## Family: 'gaussian'
## Data class: 'metric_graph_data', 'list'
## Predictor: speed ~ .
## Time used:
## Pre = 0.375, Running = 3.62, Post = 1.51, Total = 5.51
## Fixed effects:
## mean sd 0.025quant 0.5quant 0.975quant mode kld
## Intercept 20.883 0.374 20.163 20.877 21.638 20.877 0
## SpeedLimit 3.060 0.280 2.517 3.062 3.597 3.062 0
##
## Random effects:
## Name Model
## field CGeneric
##
## Model hyperparameters:
## mean sd 0.025quant 0.5quant
## Precision for the Gaussian observations 0.012 0.000 0.012 0.012
## Theta1 for field 2.853 0.070 2.717 2.852
## Theta2 for field -1.089 0.217 -1.508 -1.092
## 0.975quant mode
## Precision for the Gaussian observations 0.012 0.012
## Theta1 for field 2.993 2.849
## Theta2 for field -0.656 -1.102
##
## Deviance Information Criterion (DIC) ...............: 108508.41
## Deviance Information Criterion (DIC, saturated) ....: 17488.95
## Effective number of parameters .....................: 2958.72
##
## Watanabe-Akaike information criterion (WAIC) ...: 108687.88
## Effective number of parameters .................: 2626.72
##
## Marginal log-Likelihood: -55592.15
## is computed
## Posterior summaries for the linear predictor and the fitted values are computed
## (Posterior marginals needs also 'control.compute=list(return.marginals.predictor=TRUE)')fit.rspde = rspde.result(rspde_fit_stat, "field", rspde_model_stat)
summary(fit.rspde)## mean sd 0.025quant 0.5quant 0.975quant mode
## std.dev 17.384300 1.214610 15.156800 17.326700 19.92440 17.193300
## range 0.344362 0.075386 0.221998 0.335451 0.51689 0.3180442.2 Nonstationary model
- Observe that we are using the computed parameters from the stationary model as initial values for the nonstationary models.
nonstat.time.ini <- Sys.time()
################################################################################
############################# NON STATIONARY MODEL #############################
################################################################################
B.sigma = cbind(0, 1, 0, mesh$SpeedLimit, 0)
B.range = cbind(0, 0, 1, 0, mesh$SpeedLimit)
init.vec.theta = c(fit.rspde$summary.log.std.dev$mode,
fit.rspde$summary.log.range$mode,
rep(0, (ncol(B.sigma)-3)))
rspde_model_nonstat <- rspde.metric_graph(sf_graph,
#start.theta = init.vec.theta,
#theta.prior.mean = init.vec.theta,
B.sigma = B.sigma,
B.range = B.range,
parameterization = "matern",
nu = 0.5)str(rspde_model_nonstat)
## List of 21
## $ f :List of 3
## ..$ model : chr "cgeneric"
## ..$ n : int 7169
## ..$ cgeneric:List of 5
## .. ..$ model: chr "inla_cgeneric_rspde_nonstat_int_model"
## .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. ..$ n : int 7169
## .. ..$ debug: logi FALSE
## .. ..$ data :List of 5
## .. .. ..$ ints :List of 5
## .. .. .. ..$ n : int 7169
## .. .. .. ..$ debug : int 0
## .. .. .. ..$ graph_opt_i: int [1:16024] 0 0 0 1 1 1 1 1 1 2 ...
## .. .. .. ..$ graph_opt_j: int [1:16024] 0 1 985 1 1700 5207 5364 6858 7041 2 ...
## .. .. .. ..$ alpha : int 1
## .. .. ..$ doubles :List of 2
## .. .. .. ..$ start.theta : num [1:4] 5.59e-35 2.23e-01 -6.94e-19 2.55e-33
## .. .. .. ..$ theta.prior.mean: num [1:4] 5.59e-35 2.23e-01 -6.94e-19 2.55e-33
## .. .. ..$ characters:List of 3
## .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. ..$ matrices :List of 3
## .. .. .. ..$ B_tau : num [1:35847] 7169 5 -0.693 -1 0.5 ...
## .. .. .. ..$ B_kappa : num [1:35847] 7169 5 0.693 0 -1 ...
## .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. ..$ smatrices :List of 2
## .. .. .. ..$ C: num [1:21510] 7169 7169 7169 0 1 ...
## .. .. .. ..$ G: num [1:74640] 7169 7169 24879 0 1 ...
## .. ..- attr(*, "class")= chr "inla.cgeneric"
## $ cgeneric_type : chr "int_alpha"
## $ nu : num 0.5
## $ theta.prior.mean : num [1:4] 5.59e-35 2.23e-01 -6.94e-19 2.55e-33
## $ prior.nu :List of 4
## ..$ loglocation: num -5e-06
## ..$ mean : num 1
## ..$ prec : num 3
## ..$ logscale : num 1
## $ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## $ start.nu : num 0.5
## $ integer.nu : logi TRUE
## $ start.theta : num [1:4] 5.59e-35 2.23e-01 -6.94e-19 2.55e-33
## $ stationary : logi FALSE
## $ rspde.order : num 2
## $ dim : num 1
## $ est_nu : logi FALSE
## $ nu.upper.bound : num 2
## $ prior.nu.dist : chr "lognormal"
## $ debug : logi FALSE
## $ type.rational.approx: chr "chebfun"
## $ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## $ fem_mesh :List of 4
## ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. ..@ factors : list()
## ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. ..@ factors : list()
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## .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
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## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. ..@ factors : list()
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## .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. ..@ factors : list()
## $ parameterization : chr "matern"
## $ n.spde : int 7169
## - attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"data_rspde_bru_nonstat <- graph_data_rspde(rspde_model_nonstat,
repl = ".all",
loc_name = "loc")str(data_rspde_bru_nonstat)
## List of 4
## $ data :List of 8
## ..$ speed : num [1:14534] 0 12.9 24.1 32.2 0 ...
## ..$ SpeedLimit : num [1:14534] -0.101 -0.617 -0.617 -0.617 -0.927 ...
## ..$ .coord_x : num [1:14534] -122 -122 -122 -122 -122 ...
## ..$ .coord_y : num [1:14534] 37.8 37.8 37.8 37.8 37.8 ...
## ..$ .edge_number : num [1:14534] 1 4 6 6 9 14 14 14 18 20 ...
## ..$ .distance_on_edge: num [1:14534] 0.437 0.144 0.252 0.658 0.601 ...
## ..$ .group : chr [1:14534] "1" "1" "1" "1" ...
## ..$ loc : num [1:14534, 1:2] 1 4 6 6 9 14 14 14 18 20 ...
## ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## $ index:List of 3
## ..$ field : int [1:28676] 1 2 3 4 5 6 7 8 9 10 ...
## ..$ field.group: int [1:28676] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ field.repl : int [1:28676] 1 1 1 1 1 1 1 1 1 1 ...
## ..- attr(*, "class")= chr [1:2] "inla_rspde_index" "list"
## ..- attr(*, "rspde.order")= num 0
## ..- attr(*, "integer_nu")= logi TRUE
## ..- attr(*, "n.mesh")= int 7169
## ..- attr(*, "name")= chr "field"
## ..- attr(*, "n.group")= int 1
## ..- attr(*, "n.repl")= int 4
## $ repl : chr [1:14534] "1" "1" "1" "1" ...
## $ basis:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. ..@ i : int [1:29068] 0 555 1905 1906 0 1050 1471 1472 1473 1905 ...
## .. ..@ p : int [1:28677] 0 4 11 11 11 11 12 13 15 15 ...
## .. ..@ Dim : int [1:2] 14534 28676
## .. ..@ Dimnames:List of 2
## .. .. ..$ : NULL
## .. .. ..$ : NULL
## .. ..@ x : num [1:29068] 0.563 0.0495 0.3595 0.7935 0.437 ...
## .. ..@ factors : list()cmp_nonstat = speed ~ -1 +
Intercept(1) +
SpeedLimit +
field(loc, model = rspde_model_nonstat,
replicate = data_rspde_bru_nonstat[["repl"]])
rspde_fit_nonstat <-
bru(cmp_nonstat,
data = data_rspde_bru_nonstat[["data"]],
family = "gaussian",
options = list(verbose = FALSE)
)str(rspde_fit_nonstat)
## List of 56
## $ names.fixed : chr [1:2] "Intercept" "SpeedLimit"
## $ summary.fixed :'data.frame': 2 obs. of 7 variables:
## ..$ mean : num [1:2] 20.84 2.95
## ..$ sd : num [1:2] 0.393 0.291
## ..$ 0.025quant: num [1:2] 20.07 2.36
## ..$ 0.5quant : num [1:2] 20.84 2.96
## ..$ 0.975quant: num [1:2] 21.62 3.49
## ..$ mode : num [1:2] 20.84 2.95
## ..$ kld : num [1:2] 5.71e-08 6.55e-07
## $ marginals.fixed :List of 2
## ..$ Intercept : num [1:43, 1:2] 19 19.2 19.6 19.9 20.1 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ SpeedLimit: num [1:43, 1:2] 1.8 1.92 2.06 2.25 2.36 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ summary.lincomb :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb : NULL
## $ size.lincomb : NULL
## $ summary.lincomb.derived :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb.derived : NULL
## $ size.lincomb.derived : NULL
## $ mlik : num [1:2, 1] -55601 -55598
## ..- attr(*, "dimnames")=List of 2
## .. ..$ : chr [1:2] "log marginal-likelihood (integration)" "log marginal-likelihood (Gaussian)"
## .. ..$ : NULL
## $ cpo :List of 3
## ..$ cpo : logi(0)
## ..$ pit : logi(0)
## ..$ failure: logi(0)
## $ gcpo :List of 5
## ..$ gcpo : NULL
## ..$ kld : NULL
## ..$ mean : NULL
## ..$ sd : NULL
## ..$ groups: NULL
## $ po :List of 1
## ..$ po: num [1:14534] 0.00803 0.03514 0.03597 0.03162 0.02251 ...
## $ waic :List of 4
## ..$ waic : num 108697
## ..$ p.eff : num 2609
## ..$ local.waic : num [1:14534] 10.71 6.98 6.87 7.56 8.97 ...
## ..$ local.p.eff: num [1:14534] 0.529 0.144 0.111 0.324 0.691 ...
## $ residuals :List of 1
## ..$ deviance.residuals: num [1:14534] -1.962 -0.735 0.686 0.931 -1.347 ...
## $ model.random : chr "CGeneric"
## $ summary.random :List of 1
## ..$ field:'data.frame': 28676 obs. of 8 variables:
## .. ..$ ID : num [1:28676] 1 2 3 4 5 6 7 8 9 10 ...
## .. ..$ mean : num [1:28676] -2.652 -3.285 -0.67 -0.307 -0.42 ...
## .. ..$ sd : num [1:28676] 5.07 3.55 6.95 7.58 8.39 ...
## .. ..$ 0.025quant: num [1:28676] -12.6 -10.3 -14.3 -15.2 -16.9 ...
## .. ..$ 0.5quant : num [1:28676] -2.648 -3.284 -0.67 -0.306 -0.419 ...
## .. ..$ 0.975quant: num [1:28676] 7.27 3.68 12.96 14.55 16.04 ...
## .. ..$ mode : num [1:28676] -2.648 -3.284 -0.67 -0.306 -0.419 ...
## .. ..$ kld : num [1:28676] 1.82e-10 2.46e-11 1.13e-12 2.24e-12 3.18e-12 ...
## $ marginals.random :List of 1
## ..$ field:List of 28676
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## .. ..$ N : num 7169
## .. ..$ Ntotal: num 28676
## .. ..$ ngroup: num 1
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## $ summary.linear.predictor :'data.frame': 43212 obs. of 7 variables:
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## ..$ sd : num [1:43212] 3.42 6.34 6.22 6.76 6.02 ...
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## ..$ mode : num [1:43212] 17.6 15.1 23.3 27 10.7 ...
## ..$ kld : num [1:43212] 9.66e-11 3.10e-11 2.76e-11 3.26e-11 9.92e-11 ...
## $ marginals.linear.predictor : NULL
## $ summary.fitted.values :'data.frame': 43212 obs. of 6 variables:
## ..$ mean : num [1:43212] 17.6 15.1 23.3 27 10.7 ...
## ..$ sd : num [1:43212] 3.42 6.34 6.22 6.76 6.02 ...
## ..$ 0.025quant: num [1:43212] 10.89 2.67 11.09 13.76 -1.08 ...
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## ..$ mode : num [1:43212] 17.6 15.1 23.3 27 10.8 ...
## $ marginals.fitted.values : NULL
## $ size.linear.predictor :List of 5
## ..$ n : num 28678
## ..$ N : num 28678
## ..$ Ntotal: num 43212
## ..$ ngroup: num 1
## ..$ nrep : num 2
## $ summary.hyperpar :'data.frame': 5 obs. of 6 variables:
## ..$ mean : num [1:5] 0.012 3.052 -0.63 0.421 0.838
## ..$ sd : num [1:5] 0.000182 0.144792 0.348931 0.218794 0.435011
## ..$ 0.025quant: num [1:5] 0.0116 2.8284 -1.1799 0.0888 0.1766
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## ..$ mode : num [1:5] 0.012 2.949 -0.858 0.253 0.505
## $ marginals.hyperpar :List of 5
## ..$ Precision for the Gaussian observations: num [1:43, 1:2] 0.0112 0.0113 0.0114 0.0115 0.0116 ...
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## .. ..- attr(*, "dimnames")=List of 2
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## .. .. ..$ : chr [1:2] "x" "y"
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## .. ..- attr(*, "hyperid")= chr ""
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## .. .. ..$ : chr [1:2] "x" "y"
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## .. ..- attr(*, "hyperid")= chr ""
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## .. ..- attr(*, "hyperid")= chr ""
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## $ internal.summary.hyperpar :'data.frame': 5 obs. of 6 variables:
## ..$ mean : num [1:5] -4.427 3.056 -0.622 0.426 0.847
## ..$ sd : num [1:5] 0.0152 0.1444 0.3479 0.2181 0.4337
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## ..$ mode : num [1:5] -4.427 2.953 -0.852 0.259 0.517
## $ internal.marginals.hyperpar:List of 5
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## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta4 for field : num [1:43, 1:2] -0.3029 -0.1911 -0.0653 0.0973 0.1766 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ offset.linear.predictor : num [1:43212] 0 0 0 0 0 0 0 0 0 0 ...
## $ model.spde2.blc : NULL
## $ summary.spde2.blc : list()
## $ marginals.spde2.blc : NULL
## $ size.spde2.blc : NULL
## $ model.spde3.blc : NULL
## $ summary.spde3.blc : list()
## $ marginals.spde3.blc : NULL
## $ size.spde3.blc : NULL
## $ logfile : chr [1:768] "[PANUA] PARDISO License is expired." "[PANUA] Please obtain a new PARDISO license at https://www.panua.ch/products/pardiso" " Read ntt 24 1 with max.threads 24" " Found num.threads = 24:1 max_threads = 24" ...
## $ misc :List of 22
## ..$ cov.intern : num [1:5, 1:5] 0.000241 -0.000406 -0.001358 -0.000442 -0.00084 ...
## ..$ cor.intern : num [1:5, 1:5] 1 -0.21 -0.275 -0.162 -0.154 ...
## ..$ cov.intern.eigenvalues : num [1:5] 0.000167 0.000374 0.000212 0.023963 0.246192
## ..$ cov.intern.eigenvectors : num [1:5, 1:5] 0.86075 -0.47754 0.17498 0.00937 0.01883 ...
## ..$ reordering : int [1:28678] 8839 8870 10025 10012 9993 10022 10033 10021 10023 9996 ...
## ..$ theta.tags : chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## ..$ log.posterior.mode : num -55588
## ..$ stdev.corr.negative : num [1:5] 0.999 1.004 1.011 0.852 0.53
## ..$ stdev.corr.positive : num [1:5] 1.001 0.996 0.989 1.174 1.887
## ..$ to.theta :List of 5
## .. ..$ Log precision for the Gaussian observations:function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## .. ..$ Theta3 for field :function (x)
## .. ..$ Theta4 for field :function (x)
## ..$ from.theta :List of 5
## .. ..$ Log precision for the Gaussian observations:function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## .. ..$ Theta3 for field :function (x)
## .. ..$ Theta4 for field :function (x)
## ..$ mode.status : num 0
## ..$ lincomb.derived.correlation.matrix: NULL
## ..$ lincomb.derived.covariance.matrix : NULL
## ..$ opt.directions : num [1:5, 1:5] -0.217 0.337 0.78 0.195 0.439 ...
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## .. .. ..$ : chr [1:5] "dir:1" "dir:2" "dir:3" "dir:4" ...
## ..$ configs :List of 17
## .. ..$ .preopt : logi TRUE
## .. ..$ lite : logi FALSE
## .. ..$ mpred : int 14534
## .. ..$ npred : int 28678
## .. ..$ mnpred : int 43212
## .. ..$ Npred : int 14534
## .. ..$ n : int 28678
## .. ..$ nz : int 80857
## .. ..$ prior_nz : int 64098
## .. ..$ ntheta : int 5
## .. ..$ nconfig : int 27
## .. ..$ offsets : num [1:43212] 0 0 0 0 0 0 0 0 0 0 ...
## .. ..$ contents :List of 3
## .. .. ..$ tag : chr [1:5] "APredictor" "Predictor" "field" "Intercept" ...
## .. .. ..$ start : int [1:5] 1 14535 43213 71889 71890
## .. .. ..$ length: int [1:5] 14534 28678 28676 1 1
## .. ..$ A :Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. ..@ i : int [1:28678] 2 3 4 5 6 7 8 9 10 11 ...
## .. .. .. ..@ j : int [1:28678] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. ..@ Dimnames:List of 2
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## .. .. .. .. ..$ : NULL
## .. .. .. ..@ x : num [1:28678] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ pA :Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. ..@ i : int [1:58122] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. ..@ j : int [1:58122] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. ..@ Dim : int [1:2] 14534 28678
## .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. ..$ : NULL
## .. .. .. .. ..$ : NULL
## .. .. .. ..@ x : num [1:58122] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ config :List of 27
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.426 2.942 -0.879 0.243 0.485
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -4.6
## .. .. .. ..$ log.posterior.orig: num 0
## .. .. .. ..$ mean : num [1:28678] -2.639 -3.29 -0.715 -0.352 -0.462 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.639 -3.29 -0.715 -0.352 -0.462 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04276 -0.00826 0.10064 0.09619 -0.03646 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.53 2.69 12.57 48.3 40.64 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0299 -0.0159 0.0644 0.0962 -0.0365 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
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## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
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## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2108 -0.0263 0.0102 0.062 -0.1288 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.6 15.1 23.3 27 10.8 ...
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## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.848 2.925 -2.639 -3.29 -0.715 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.399 2.927 -0.874 0.243 0.485
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.31
## .. .. .. ..$ log.posterior.orig: num -3.05
## .. .. .. ..$ mean : num [1:28678] -2.613 -3.281 -0.715 -0.352 -0.46 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.613 -3.281 -0.715 -0.352 -0.46 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0442 -0.00863 0.10399 0.0997 -0.03779 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 24.72 2.64 12.19 46.7 39.31 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0309 -0.0165 0.0667 0.0997 -0.0378 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2169 -0.0271 0.0106 0.0639 -0.1328 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.6 15.1 23.3 27 10.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.847 2.925 -2.613 -3.281 -0.715 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.454 2.957 -0.885 0.242 0.484
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.27
## .. .. .. ..$ log.posterior.orig: num -3
## .. .. .. ..$ mean : num [1:28678] -2.665 -3.298 -0.716 -0.351 -0.463 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.665 -3.298 -0.716 -0.351 -0.463 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04136 -0.00791 0.09742 0.09281 -0.03518 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 26.37 2.75 12.96 49.95 42.01 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0288 -0.0154 0.0622 0.0928 -0.0352 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.20491 -0.02549 0.00986 0.06004 -0.12495 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.6 15.1 23.3 27 10.7 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.848 2.926 -2.665 -3.298 -0.716 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.451 2.903 -0.867 0.245 0.486
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.23
## .. .. .. ..$ log.posterior.orig: num -2.96
## .. .. .. ..$ mean : num [1:28678] -2.277 -3.132 -0.718 -0.358 -0.46 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.277 -3.132 -0.718 -0.358 -0.46 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04526 -0.00996 0.10591 0.10538 -0.03996 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 24.42 2.97 12.23 44.4 37.42 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0327 -0.0174 0.0705 0.1054 -0.04 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2086 -0.0267 0.0118 0.0644 -0.1309 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.9 15.2 23.1 26.7 11.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.819 2.993 -2.277 -3.132 -0.718 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.402 2.981 -0.891 0.24 0.483
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.32
## .. .. .. ..$ log.posterior.orig: num -3.05
## .. .. .. ..$ mean : num [1:28678] -3.021 -3.44 -0.71 -0.344 -0.462 ...
## .. .. .. ..$ improved.mean : num [1:28678] -3.021 -3.44 -0.71 -0.344 -0.462 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04049 -0.00668 0.09589 0.08774 -0.03325 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 26.66 2.37 12.91 52.57 44.18 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0273 -0.0145 0.0588 0.0877 -0.0332 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21296 -0.02577 0.00869 0.05947 -0.12637 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.4 15 23.4 27.3 10.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.88 2.86 -3.02 -3.44 -0.71 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.426 2.942 -0.88 0.275 0.469
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.36
## .. .. .. ..$ log.posterior.orig: num -3.09
## .. .. .. ..$ mean : num [1:28678] -2.589 -3.211 -0.708 -0.351 -0.467 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.589 -3.211 -0.708 -0.351 -0.467 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04311 -0.00871 0.10353 0.1005 -0.0381 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.4 2.75 12.28 46.34 39.01 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0302 -0.0164 0.0673 0.1005 -0.0381 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2115 -0.0269 0.0104 0.0623 -0.1297 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.7 15.1 23.3 27 10.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.831 2.9 -2.589 -3.211 -0.708 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.427 2.941 -0.878 0.21 0.5
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.3
## .. .. .. ..$ log.posterior.orig: num -3.03
## .. .. .. ..$ mean : num [1:28678] -2.655 -3.334 -0.709 -0.337 -0.444 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.655 -3.334 -0.709 -0.337 -0.444 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0424 -0.00782 0.09782 0.09197 -0.03485 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.67 2.63 12.86 50.38 42.37 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0295 -0.0155 0.0616 0.092 -0.0349 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2101 -0.0255 0.0102 0.0617 -0.1278 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.6 15 23.3 27 10.7 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.83 2.963 -2.655 -3.334 -0.709 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.417 2.85 -1.209 0.36 0.747
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.52
## .. .. .. ..$ log.posterior.orig: num -4.25
## .. .. .. ..$ mean : num [1:28678] -2.977 -3.185 -0.617 -0.254 -0.45 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.977 -3.185 -0.617 -0.254 -0.45 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0393 -0.00589 0.09388 0.08361 -0.031 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 27.2 2.1 12.9 44.8 36.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0263 -0.0136 0.0573 0.0836 -0.031 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2085 -0.0272 0.012 0.061 -0.1242 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.3 15.1 23.1 27.1 10.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.69 3.386 -2.977 -3.185 -0.617 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.433 3.009 -0.64 0.158 0.295
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -5.33
## .. .. .. ..$ log.posterior.orig: num -2.06
## .. .. .. ..$ mean : num [1:28678] -2.418 -3.316 -0.643 -0.298 -0.338 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.418 -3.316 -0.643 -0.298 -0.338 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0458 -0.0102 0.1074 0.1075 -0.041 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 24.25 3.07 12.2 47.72 40.72 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.033 -0.0178 0.0714 0.1075 -0.041 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21239 -0.02761 0.00934 0.06322 -0.1327 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.9 15.2 23.4 26.9 11.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.957 2.649 -2.418 -3.316 -0.643 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.442 3.496 0.497 1.036 2.058
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -21.2
## .. .. .. ..$ log.posterior.orig: num -17.9
## .. .. .. ..$ mean : num [1:28678] -1.322 -2.5 0.152 0.51 0.495 ...
## .. .. .. ..$ improved.mean : num [1:28678] -1.322 -2.5 0.152 0.51 0.495 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0511 -0.0134 0.119 0.1256 -0.048 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 22.27 3.41 11.52 43.52 37.46 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0384 -0.0209 0.0833 0.1256 -0.048 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21436 -0.03117 0.00874 0.06586 -0.13866 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18.2 15.5 23.4 26.6 11.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.296 2.526 -1.322 -2.5 0.152 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4222 2.7862 -1.2654 0.0202 0.0431
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -4.99
## .. .. .. ..$ log.posterior.orig: num -1.72
## .. .. .. ..$ mean : num [1:28678] -2.829 -3.312 -0.694 -0.32 -0.492 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.829 -3.312 -0.694 -0.32 -0.492 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04114 -0.00706 0.09651 0.0894 -0.03375 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 26.2 2.4 12.8 47.6 39.6 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0282 -0.0147 0.0601 0.0894 -0.0338 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2097 -0.0267 0.0114 0.0622 -0.1259 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.5 15.1 23.2 27 10.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.828 3.26 -2.829 -3.312 -0.694 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.438 3.244 -0.164 0.544 1.109
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -5.46
## .. .. .. ..$ log.posterior.orig: num -2.2
## .. .. .. ..$ mean : num [1:28678] -2.25566 -3.18043 -0.34747 -0.00318 -0.01137 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.25566 -3.18043 -0.34747 -0.00318 -0.01137 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0455 -0.0101 0.1058 0.1054 -0.0402 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 24.46 3.13 12.43 49.86 42.66 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0328 -0.0176 0.07 0.1054 -0.0402 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21121 -0.02799 0.00777 0.06174 -0.13191 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.9 15.2 23.5 27 11.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.777 2.5 -2.256 -3.18 -0.347 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.42 2.86 -1.21 0.18 0.41
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -5.4
## .. .. .. ..$ log.posterior.orig: num -2.13
## .. .. .. ..$ mean : num [1:28678] -3.081 -3.37 -0.692 -0.314 -0.497 ...
## .. .. .. ..$ improved.mean : num [1:28678] -3.081 -3.37 -0.692 -0.314 -0.497 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.03878 -0.00569 0.09112 0.08082 -0.03032 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 27.57 2.14 13.31 50.39 41.56 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0258 -0.0134 0.0547 0.0808 -0.0303 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2073 -0.026 0.0105 0.0594 -0.1222 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.3 15 23.3 27.2 10.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.794 3.236 -3.081 -3.37 -0.692 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.429 2.927 -0.953 0.118 0.194
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -5.47
## .. .. .. ..$ log.posterior.orig: num -2.2
## .. .. .. ..$ mean : num [1:28678] -2.791 -3.369 -0.735 -0.373 -0.487 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.791 -3.369 -0.735 -0.373 -0.487 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04169 -0.00784 0.09901 0.09411 -0.03576 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 26.13 2.66 12.72 50.14 42.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0288 -0.0155 0.0629 0.0941 -0.0358 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2097 -0.0261 0.0095 0.0606 -0.1268 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.6 15.1 23.3 27.1 10.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.905 2.879 -2.791 -3.369 -0.735 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.43 3.173 -0.42 0.663 1.298
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.96
## .. .. .. ..$ log.posterior.orig: num -3.69
## .. .. .. ..$ mean : num [1:28678] -2.449 -3.072 -0.529 -0.175 -0.257 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.449 -3.072 -0.529 -0.175 -0.257 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04246 -0.00841 0.10139 0.09747 -0.03693 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.77 2.76 12.54 49.01 41.36 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0296 -0.016 0.0653 0.0975 -0.0369 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21007 -0.02551 0.00934 0.06058 -0.12863 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.6 15 23.4 27.1 10.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.638 2.765 -2.449 -3.072 -0.529 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4507 2.8912 -0.9414 0.0915 0.2096
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -5.77
## .. .. .. ..$ log.posterior.orig: num -2.5
## .. .. .. ..$ mean : num [1:28678] -2.49 -3.288 -0.74 -0.375 -0.477 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.49 -3.288 -0.74 -0.375 -0.477 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0435 -0.00891 0.10093 0.09818 -0.0373 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.24 2.87 12.68 48.27 40.76 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0309 -0.0164 0.0656 0.0982 -0.0373 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2071 -0.0259 0.0108 0.0625 -0.128 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.7 15.1 23.2 26.8 11 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.88 2.97 -2.49 -3.29 -0.74 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.453 3.138 -0.408 0.636 1.313
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -8.23
## .. .. .. ..$ log.posterior.orig: num -4.96
## .. .. .. ..$ mean : num [1:28678] -2.155 -2.99 -0.533 -0.175 -0.245 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.155 -2.99 -0.533 -0.175 -0.245 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04434 -0.00951 0.10341 0.10168 -0.03853 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 24.89 2.97 12.49 47.17 39.84 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0318 -0.017 0.0681 0.1017 -0.0385 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2075 -0.0254 0.0106 0.0625 -0.1297 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.8 15.1 23.2 26.8 11.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.617 2.859 -2.155 -2.99 -0.533 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.459 3.209 -0.154 0.574 1.097
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.49
## .. .. .. ..$ log.posterior.orig: num -4.22
## .. .. .. ..$ mean : num [1:28678] -1.9054 -2.9689 -0.3526 -0.0155 -0.0258 ...
## .. .. .. ..$ improved.mean : num [1:28678] -1.9054 -2.9689 -0.3526 -0.0155 -0.0258 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0484 -0.0122 0.1142 0.119 -0.0454 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 23.4 3.4 11.9 44.5 38.2 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0359 -0.0196 0.0791 0.119 -0.0454 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2097 -0.02917 0.00926 0.06395 -0.13445 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18.1 15.4 23.3 26.7 11.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.743 2.532 -1.905 -2.969 -0.353 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.443 2.821 -1.197 0.211 0.398
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.15
## .. .. .. ..$ log.posterior.orig: num -2.88
## .. .. .. ..$ mean : num [1:28678] -2.712 -3.19 -0.692 -0.323 -0.499 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.712 -3.19 -0.692 -0.323 -0.499 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04097 -0.00736 0.09736 0.09124 -0.03425 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 26.4 2.5 12.7 45.1 37.2 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0283 -0.0149 0.0617 0.0912 -0.0343 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.206 -0.027 0.0119 0.0619 -0.1251 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.5 15.2 23.1 26.9 10.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.773 3.268 -2.712 -3.19 -0.692 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4046 2.9125 -0.9474 0.0898 0.2087
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -5.61
## .. .. .. ..$ log.posterior.orig: num -2.34
## .. .. .. ..$ mean : num [1:28678] -2.799 -3.419 -0.736 -0.368 -0.476 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.799 -3.419 -0.736 -0.368 -0.476 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04263 -0.00776 0.09941 0.09339 -0.03548 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.51 2.56 12.63 50.52 42.62 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0294 -0.0156 0.0624 0.0934 -0.0355 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21441 -0.02621 0.00969 0.06203 -0.12949 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.5 15 23.3 27.1 10.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.907 2.904 -2.799 -3.419 -0.736 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.406 3.159 -0.414 0.634 1.312
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -8.2
## .. .. .. ..$ log.posterior.orig: num -4.93
## .. .. .. ..$ mean : num [1:28678] -2.459 -3.121 -0.526 -0.166 -0.242 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.459 -3.121 -0.526 -0.166 -0.242 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04342 -0.00834 0.10177 0.09673 -0.03665 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.16 2.66 12.45 49.36 41.64 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0303 -0.0161 0.0648 0.0967 -0.0366 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21483 -0.02561 0.00954 0.06207 -0.13132 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.6 15 23.4 27.1 10.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.641 2.797 -2.459 -3.121 -0.526 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.413 3.231 -0.16 0.573 1.096
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.07
## .. .. .. ..$ log.posterior.orig: num -3.8
## .. .. .. ..$ mean : num [1:28678] -2.1936 -3.1048 -0.3489 -0.0103 -0.0252 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.1936 -3.1048 -0.3489 -0.0103 -0.0252 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0473 -0.0109 0.112 0.1132 -0.0432 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 23.65 3.11 11.84 46.55 39.85 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0342 -0.0187 0.0752 0.1132 -0.0432 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21726 -0.02942 0.00819 0.06375 -0.13637 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.9 15.3 23.5 26.9 11.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.766 2.471 -2.194 -3.105 -0.349 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.397 2.842 -1.203 0.209 0.397
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6
## .. .. .. ..$ log.posterior.orig: num -2.74
## .. .. .. ..$ mean : num [1:28678] -3.028 -3.313 -0.69 -0.319 -0.502 ...
## .. .. .. ..$ improved.mean : num [1:28678] -3.028 -3.313 -0.69 -0.319 -0.502 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04022 -0.00628 0.09606 0.0868 -0.03258 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 26.66 2.17 12.7 47.17 38.95 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0269 -0.0142 0.0588 0.0868 -0.0326 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2133 -0.0273 0.0109 0.0613 -0.1264 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.3 15.1 23.3 27.2 10.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.8 3.21 -3.03 -3.31 -0.69 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.435 3.195 -0.148 0.546 1.111
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -9
## .. .. .. ..$ log.posterior.orig: num -5.73
## .. .. .. ..$ mean : num [1:28678] -1.92122 -3.02514 -0.34462 -0.00215 -0.00468 ...
## .. .. .. ..$ improved.mean : num [1:28678] -1.92122 -3.02514 -0.34462 -0.00215 -0.00468 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0495 -0.0122 0.1144 0.1181 -0.0451 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 22.81 3.29 11.8 44.84 38.42 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0367 -0.0198 0.0785 0.1181 -0.0451 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2145 -0.0294 0.0094 0.0655 -0.1373 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18.1 15.4 23.3 26.7 11.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.752 2.563 -1.921 -3.025 -0.345 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.419 2.807 -1.191 0.182 0.412
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.6
## .. .. .. ..$ log.posterior.orig: num -3.33
## .. .. .. ..$ mean : num [1:28678] -2.716 -3.233 -0.697 -0.322 -0.496 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.716 -3.233 -0.697 -0.322 -0.496 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04188 -0.00728 0.09777 0.09055 -0.03399 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.8 2.4 12.6 45.4 37.5 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0289 -0.015 0.0613 0.0905 -0.034 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2107 -0.0271 0.0122 0.0634 -0.1277 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.5 15.1 23.1 26.9 10.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.769 3.293 -2.716 -3.233 -0.697 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.426 2.878 -0.937 0.121 0.196
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6
## .. .. .. ..$ log.posterior.orig: num -2.74
## .. .. .. ..$ mean : num [1:28678] -2.438 -3.221 -0.739 -0.38 -0.484 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.438 -3.221 -0.739 -0.38 -0.484 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
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## ..$ Theta4 for field : num [1:26] 0.485 0.485 0.484 0.486 0.483 ...
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## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
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## clear_observations: function ()
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## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
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## .. .. .. ..$ output.name.intern: chr "beta[5] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[6] for lp_scale"
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## .. .. .. ..$ short.name : chr "b10"
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## .. .. .. ..$ output.name : chr "beta[10] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[10] for lp_scale"
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## .. .. .. ..$ short.name : chr "b12"
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## .. .. .. ..$ output.name : chr "beta[12] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[12] for lp_scale"
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## .. .. .. ..$ short.name : chr "b13"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[13] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[13] for lp_scale"
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## .. .. .. ..$ short.name : chr "b14"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[14] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[14] for lp_scale"
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## .. .. .. ..$ short.name : chr "b15"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[15] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[15] for lp_scale"
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## .. .. .. ..$ short.name : chr "b16"
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## .. .. .. ..$ output.name : chr "beta[16] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[16] for lp_scale"
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## .. .. .. ..$ short.name : chr "b17"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[17] for lp_scale"
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## .. .. .. ..$ short.name : chr "b18"
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## .. .. .. ..$ output.name : chr "beta[18] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[18] for lp_scale"
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## .. .. .. ..$ short.name : chr "b19"
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## .. .. .. ..$ output.name : chr "beta[19] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[19] for lp_scale"
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## .. .. .. ..$ short.name : chr "b20"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[20] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[20] for lp_scale"
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## .. .. ..$ theta21 :List of 11
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## .. .. .. ..$ name : chr "beta21"
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## .. .. .. ..$ short.name : chr "b21"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[21] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[21] for lp_scale"
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## .. .. ..$ theta22 :List of 11
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## .. .. .. ..$ short.name : chr "b22"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[22] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[22] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[23] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[23] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta24 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[24] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[24] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b25"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[25] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[25] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta26 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[26] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[26] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta27 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[27] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[27] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta28 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[28] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[28] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta29 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta30 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta31 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta32 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta33 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta34 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta35 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta36 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta37 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta38 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta39 :List of 11
## .. .. .. ..$ hyperid : num 103039
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta40 :List of 11
## .. .. .. ..$ hyperid : num 103040
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta41 :List of 11
## .. .. .. ..$ hyperid : num 103041
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta42 :List of 11
## .. .. .. ..$ hyperid : num 103042
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[42] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[42] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta43 :List of 11
## .. .. .. ..$ hyperid : num 103043
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta43"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b43"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[43] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[43] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta44 :List of 11
## .. .. .. ..$ hyperid : num 103044
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta44"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b44"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[44] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[44] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta45 :List of 11
## .. .. .. ..$ hyperid : num 103045
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta45"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b45"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[45] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[45] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta46 :List of 11
## .. .. .. ..$ hyperid : num 103046
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta46"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b46"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[46] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[46] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta47 :List of 11
## .. .. .. ..$ hyperid : num 103047
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta47"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b47"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[47] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[47] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta48 :List of 11
## .. .. .. ..$ hyperid : num 103048
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta48"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b48"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[48] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[48] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta49 :List of 11
## .. .. .. ..$ hyperid : num 103049
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta49"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b49"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[49] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[49] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta50 :List of 11
## .. .. .. ..$ hyperid : num 103050
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta50"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b50"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[50] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[50] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta51 :List of 11
## .. .. .. ..$ hyperid : num 103051
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta51"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b51"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[51] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[51] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta52 :List of 11
## .. .. .. ..$ hyperid : num 103052
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta52"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b52"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[52] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[52] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta53 :List of 11
## .. .. .. ..$ hyperid : num 103053
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta53"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b53"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[53] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[53] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta54 :List of 11
## .. .. .. ..$ hyperid : num 103054
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta54"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b54"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[54] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[54] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta55 :List of 11
## .. .. .. ..$ hyperid : num 103055
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta55"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b55"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[55] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[55] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta56 :List of 11
## .. .. .. ..$ hyperid : num 103056
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta56"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b56"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[56] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[56] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta57 :List of 11
## .. .. .. ..$ hyperid : num 103057
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta57"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b57"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[57] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[57] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[75] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[75] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[76] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[76] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b77"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[77] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[77] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta79 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta79"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b79"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[79] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[79] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta80 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[80] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[80] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta81 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta81"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b81"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[81] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[81] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta82 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta82"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b82"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[82] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[82] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta83 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta83"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b83"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[83] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[83] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta84 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta84"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b84"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[84] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[84] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta85 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta85"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b85"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[85] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[85] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta86 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta86"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b86"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[86] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[86] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta87 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta87"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b87"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[87] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[87] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta88 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta88"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b88"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[88] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[88] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta89 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta89"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b89"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[89] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[89] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta90 :List of 11
## .. .. .. ..$ hyperid : num 103090
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta90"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b90"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[90] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[90] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta91 :List of 11
## .. .. .. ..$ hyperid : num 103091
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta91"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b91"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[91] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[91] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta92 :List of 11
## .. .. .. ..$ hyperid : num 103092
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta92"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b92"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[92] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[92] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ fixed : logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ inla.formula:Class 'formula' language ~. + f(SpeedLimit, model = BRU_SpeedLimit_main_model, ngroup = 1, nrep = 1, values = BRU_SpeedLimit_values)
## .. .. .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. .. .. ..$ main :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : symbol SpeedLimit
## .. .. .. .. .. ..$ label : chr "SpeedLimit"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper : list()
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_linear" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "linear"
## .. .. .. .. ..$ type : chr "linear"
## .. .. .. .. ..$ n : int 1
## .. .. .. .. ..$ values : num 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ group :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "SpeedLimit.group"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "exchangeable"
## .. .. .. .. ..$ type : chr "exchangeable"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "SpeedLimit.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x5e7d63ef2910>
## .. .. .. ..$ fcall : language "f"(SpeedLimit, model = BRU_SpeedLimit_main_model, ngroup = 1, nrep = 1, values = BRU_SpeedLimit_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main : list()
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_linear" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ group :List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ replicate:List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. ..$ n_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : num 1
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 1
## .. .. .. .. .. .. ..$ n_inla : num 1
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 1 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..$ field :List of 12
## .. .. .. ..$ label : chr "field"
## .. .. .. ..$ inla.formula:Class 'formula' language ~. + f(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. .. .. ..$ main :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : symbol loc
## .. .. .. .. .. ..$ label : chr "field"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ model:List of 21
## .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:16024] 0 0 0 1 1 1 1 1 1 2 ...
## .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:16024] 0 1 985 1 1700 5207 5364 6858 7041 2 ...
## .. .. .. .. .. .. .. .. .. .. ..$ alpha : int 1
## .. .. .. .. .. .. .. .. .. ..$ doubles :List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 5.59e-35 2.23e-01 -6.94e-19 2.55e-33
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean: num [1:4] 5.59e-35 2.23e-01 -6.94e-19 2.55e-33
## .. .. .. .. .. .. .. .. .. ..$ characters:List of 3
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. ..$ matrices :List of 3
## .. .. .. .. .. .. .. .. .. .. ..$ B_tau : num [1:35847] 7169 5 -0.693 -1 0.5 ...
## .. .. .. .. .. .. .. .. .. .. ..$ B_kappa : num [1:35847] 7169 5 0.693 0 -1 ...
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ smatrices :List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ C: num [1:21510] 7169 7169 7169 0 1 ...
## .. .. .. .. .. .. .. .. .. .. ..$ G: num [1:74640] 7169 7169 24879 0 1 ...
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. ..$ cgeneric_type : chr "int_alpha"
## .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 5.59e-35 2.23e-01 -6.94e-19 2.55e-33
## .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. ..$ loglocation: num -5e-06
## .. .. .. .. .. .. .. ..$ mean : num 1
## .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. ..$ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## .. .. .. .. .. .. ..$ start.nu : num 0.5
## .. .. .. .. .. .. ..$ integer.nu : logi TRUE
## .. .. .. .. .. .. ..$ start.theta : num [1:4] 5.59e-35 2.23e-01 -6.94e-19 2.55e-33
## .. .. .. .. .. .. ..$ stationary : logi FALSE
## .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. ..$ est_nu : logi FALSE
## .. .. .. .. .. .. ..$ nu.upper.bound : num 2
## .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. ..$ fem_mesh :List of 4
## .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. ..$ model :List of 21
## .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:16024] 0 0 0 1 1 1 1 1 1 2 ...
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:16024] 0 1 985 1 1700 5207 5364 6858 7041 2 ...
## .. .. .. .. .. .. .. .. .. ..$ alpha : int 1
## .. .. .. .. .. .. .. .. ..$ doubles :List of 2
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 5.59e-35 2.23e-01 -6.94e-19 2.55e-33
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean: num [1:4] 5.59e-35 2.23e-01 -6.94e-19 2.55e-33
## .. .. .. .. .. .. .. .. ..$ characters:List of 3
## .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. ..$ matrices :List of 3
## .. .. .. .. .. .. .. .. .. ..$ B_tau : num [1:35847] 7169 5 -0.693 -1 0.5 ...
## .. .. .. .. .. .. .. .. .. ..$ B_kappa : num [1:35847] 7169 5 0.693 0 -1 ...
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. .. .. .. .. .. .. ..$ smatrices :List of 2
## .. .. .. .. .. .. .. .. .. ..$ C: num [1:21510] 7169 7169 7169 0 1 ...
## .. .. .. .. .. .. .. .. .. ..$ G: num [1:74640] 7169 7169 24879 0 1 ...
## .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. ..$ cgeneric_type : chr "int_alpha"
## .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 5.59e-35 2.23e-01 -6.94e-19 2.55e-33
## .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. ..$ loglocation: num -5e-06
## .. .. .. .. .. .. ..$ mean : num 1
## .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. ..$ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## .. .. .. .. .. ..$ start.nu : num 0.5
## .. .. .. .. .. ..$ integer.nu : logi TRUE
## .. .. .. .. .. ..$ start.theta : num [1:4] 5.59e-35 2.23e-01 -6.94e-19 2.55e-33
## .. .. .. .. .. ..$ stationary : logi FALSE
## .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. ..$ est_nu : logi FALSE
## .. .. .. .. .. ..$ nu.upper.bound : num 2
## .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. ..$ fem_mesh :List of 4
## .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. ..$ type : chr "cgeneric"
## .. .. .. .. ..$ n : num 7169
## .. .. .. .. ..$ values : int [1:7169] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ group :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "field.group"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "exchangeable"
## .. .. .. .. ..$ type : chr "exchangeable"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : language data_rspde_bru_nonstat[["repl"]]
## .. .. .. .. .. ..$ label : chr "field.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 4
## .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : int 4
## .. .. .. .. ..$ values : int [1:4] 1 2 3 4
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x5e7d5792eca8>
## .. .. .. ..$ fcall : language "f"(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main :List of 1
## .. .. .. .. .. .. .. .. ..$ model:List of 21
## .. .. .. .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:16024] 0 0 0 1 1 1 1 1 1 2 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:16024] 0 1 985 1 1700 5207 5364 6858 7041 2 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ alpha : int 1
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ doubles :List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 5.59e-35 2.23e-01 -6.94e-19 2.55e-33
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean: num [1:4] 5.59e-35 2.23e-01 -6.94e-19 2.55e-33
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ characters:List of 3
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices :List of 3
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ B_tau : num [1:35847] 7169 5 -0.693 -1 0.5 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ B_kappa : num [1:35847] 7169 5 0.693 0 -1 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ smatrices :List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ C: num [1:21510] 7169 7169 7169 0 1 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ G: num [1:74640] 7169 7169 24879 0 1 ...
## .. .. .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. .. .. .. ..$ cgeneric_type : chr "int_alpha"
## .. .. .. .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 5.59e-35 2.23e-01 -6.94e-19 2.55e-33
## .. .. .. .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ loglocation: num -5e-06
## .. .. .. .. .. .. .. .. .. .. ..$ mean : num 1
## .. .. .. .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.5
## .. .. .. .. .. .. .. .. .. ..$ integer.nu : logi TRUE
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 5.59e-35 2.23e-01 -6.94e-19 2.55e-33
## .. .. .. .. .. .. .. .. .. ..$ stationary : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. .. .. .. ..$ est_nu : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 2
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. .. .. .. ..$ fem_mesh :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
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## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
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## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
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## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ replicate:List of 4
## .. .. .. .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. .. .. .. ..$ indexed : logi TRUE
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## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
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## .. .. .. .. .. .. .. ..$ group : num 1
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## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
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## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
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## .. .. .. .. .. .. .. ..$ main : int [1:7169] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:7169] 1 2 3 4 5 6 7 8 9 10 ...
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## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 28676
## .. .. .. .. .. .. ..$ n_inla : num 28676
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 28676 NA
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## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
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## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..- attr(*, "class")= chr [1:2] "component_list" "list"
## .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..$ formula:Class 'formula' language BRU_response ~ f(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_v| __truncated__ ...
## .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..- attr(*, "class")= chr [1:2] "bru_model" "list"
## ..$ lhoods :List of 1
## .. ..$ :List of 17
## .. .. ..$ family : chr "gaussian"
## .. .. ..$ formula :Class 'formula' language speed ~ .
## .. .. .. .. ..- attr(*, ".Environment")=<environment: 0x5e7d60cb7a80>
## .. .. ..$ response_data :List of 4
## .. .. .. ..$ BRU_response: num [1:14534] 0 12.9 24.1 32.2 0 ...
## .. .. .. ..$ BRU_E : num 1
## .. .. .. ..$ BRU_Ntrials : num 1
## .. .. .. ..$ BRU_scale : num 1
## .. .. ..$ data :List of 8
## .. .. .. ..$ speed : num [1:14534] 0 12.9 24.1 32.2 0 ...
## .. .. .. ..$ SpeedLimit : num [1:14534] -0.101 -0.617 -0.617 -0.617 -0.927 ...
## .. .. .. ..$ .coord_x : num [1:14534] -122 -122 -122 -122 -122 ...
## .. .. .. ..$ .coord_y : num [1:14534] 37.8 37.8 37.8 37.8 37.8 ...
## .. .. .. ..$ .edge_number : num [1:14534] 1 4 6 6 9 14 14 14 18 20 ...
## .. .. .. ..$ .distance_on_edge: num [1:14534] 0.437 0.144 0.252 0.658 0.601 ...
## .. .. .. ..$ .group : chr [1:14534] "1" "1" "1" "1" ...
## .. .. .. ..$ loc : num [1:14534, 1:2] 1 4 6 6 9 14 14 14 18 20 ...
## .. .. .. ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## .. .. ..$ E : num 1
## .. .. ..$ Ntrials : num 1
## .. .. ..$ weights : num 1
## .. .. ..$ scale : num 1
## .. .. ..$ samplers : NULL
## .. .. ..$ linear : logi TRUE
## .. .. ..$ expr : NULL
## .. .. ..$ response : chr "BRU_response"
## .. .. ..$ inla.family : chr "gaussian"
## .. .. ..$ domain : NULL
## .. .. ..$ used :List of 2
## .. .. .. ..$ effect: chr [1:3] "Intercept" "SpeedLimit" "field"
## .. .. .. ..$ latent: chr(0)
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## .. .. ..$ allow_combine : logi TRUE
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## .. .. ..- attr(*, "class")= chr [1:2] "bru_like" "list"
## .. ..- attr(*, "class")= chr [1:2] "bru_like_list" "list"
## ..$ options :List of 14
## .. ..$ bru_verbose : num 0
## .. ..$ bru_verbose_store: num Inf
## .. ..$ bru_max_iter : num 1
## .. ..$ bru_run : logi TRUE
## .. ..$ bru_int_args :List of 3
## .. .. ..$ method: chr "stable"
## .. .. ..$ nsub1 : num 30
## .. .. ..$ nsub2 : num 9
## .. ..$ bru_method :List of 6
## .. .. ..$ taylor : chr "pandemic"
## .. .. ..$ search : chr "all"
## .. .. ..$ factor : num 1.62
## .. .. ..$ rel_tol : num 0.1
## .. .. ..$ max_step : num 2
## .. .. ..$ line_opt_method: chr "onestep"
## .. ..$ bru_compress_cp : logi TRUE
## .. ..$ bru_debug : logi FALSE
## .. ..$ E : num 1
## .. ..$ Ntrials : num 1
## .. ..$ control.compute :List of 3
## .. .. ..$ config: logi TRUE
## .. .. ..$ dic : logi TRUE
## .. .. ..$ waic : logi TRUE
## .. ..$ control.inla :List of 1
## .. .. ..$ int.strategy: chr "auto"
## .. ..$ control.fixed :List of 1
## .. .. ..$ expand.factor.strategy: chr "inla"
## .. ..$ verbose : logi FALSE
## .. ..- attr(*, "class")= chr [1:2] "bru_options" "list"
## ..$ inlabru_version: Named chr "2.10.1.9004"
## .. ..- attr(*, "names")= chr "version"
## ..$ INLA_version : Named chr "24.04.22"
## .. ..- attr(*, "names")= chr "version"
## ..- attr(*, "class")= chr [1:2] "bru_info" "list"
## - attr(*, "class")= chr [1:3] "bru" "iinla" "inla"nonstat.time.fin <- Sys.time()
print(nonstat.time.fin - nonstat.time.ini)## Time difference of 31.33065 secssummary(rspde_fit_nonstat)## inlabru version: 2.10.1.9004
## INLA version: 24.04.22
## Components:
## Intercept: main = linear(1), group = exchangeable(1L), replicate = iid(1L)
## SpeedLimit: main = linear(SpeedLimit), group = exchangeable(1L), replicate = iid(1L)
## field: main = cgeneric(loc), group = exchangeable(1L), replicate = iid(data_rspde_bru_nonstat[["repl"]])
## Likelihoods:
## Family: 'gaussian'
## Data class: 'metric_graph_data', 'list'
## Predictor: speed ~ .
## Time used:
## Pre = 0.166, Running = 5.9, Post = 0.996, Total = 7.06
## Fixed effects:
## mean sd 0.025quant 0.5quant 0.975quant mode kld
## Intercept 20.839 0.393 20.070 20.837 21.619 20.837 0
## SpeedLimit 2.953 0.291 2.356 2.957 3.495 2.949 0
##
## Random effects:
## Name Model
## field CGeneric
##
## Model hyperparameters:
## mean sd 0.025quant 0.5quant
## Precision for the Gaussian observations 0.012 0.000 0.012 0.012
## Theta1 for field 3.052 0.145 2.828 3.035
## Theta2 for field -0.630 0.349 -1.180 -0.667
## Theta3 for field 0.421 0.219 0.089 0.393
## Theta4 for field 0.838 0.435 0.177 0.783
## 0.975quant mode
## Precision for the Gaussian observations 0.012 0.012
## Theta1 for field 3.384 2.949
## Theta2 for field 0.163 -0.858
## Theta3 for field 0.924 0.253
## Theta4 for field 1.838 0.505
##
## Deviance Information Criterion (DIC) ...............: 108517.93
## Deviance Information Criterion (DIC, saturated) ....: 17465.02
## Effective number of parameters .....................: 2935.08
##
## Watanabe-Akaike information criterion (WAIC) ...: 108697.23
## Effective number of parameters .................: 2609.01
##
## Marginal log-Likelihood: -55598.45
## is computed
## Posterior summaries for the linear predictor and the fitted values are computed
## (Posterior marginals needs also 'control.compute=list(return.marginals.predictor=TRUE)')summary(rspde.result(rspde_fit_nonstat, "field", rspde_model_nonstat))## mean sd 0.025quant 0.5quant 0.975quant mode
## Theta1.matern 3.052460 0.144792 2.8284000 3.035350 3.383660 2.949420
## Theta2.matern -0.629751 0.348931 -1.1798900 -0.667458 0.162973 -0.857963
## Theta3.matern 0.420843 0.218794 0.0888004 0.393084 0.924271 0.253025
## Theta4.matern 0.837564 0.435011 0.1766250 0.782546 1.838120 0.5046012.3 Crossvalidation 1
mse.stat <- mse.nonstat <- ls.stat <- ls.nonstat <- rep(0,length(distance))
# cross-validation for-loop
for (j in 1:length(distance)) {
# print(j)
# groups <- list()
# for (i in 1:nrow(points)) {
# rowi = points[i, ]
# groups[[i]] <- which(as.vector(distmatrixlist[[rowi$.group]][rowi$indexingroup,]) <= distance[j])
# }
# cross-validation of the stationary model
cv.stat <- inla.group.cv(rspde_fit_stat, groups = GROUPS[[j]])
# cross-validation of the nonstationary model
cv.nonstat <- inla.group.cv(rspde_fit_nonstat, groups = GROUPS[[j]])
# obtain MSE and LS
mse.stat[j] <- mean((cv.stat$mean - points$speed)^2)
mse.nonstat[j] <- mean((cv.nonstat$mean - points$speed)^2)
ls.stat[j] <- mean(log(cv.stat$cv))
ls.nonstat[j] <- mean(log(cv.nonstat$cv))
}
## plot results
par(mfrow = c(2,2), family = "Palatino")
# Plot MSE
plot(distance, mse.stat, main = "MSE", ylim = c(min(mse.nonstat, mse.stat), max(mse.nonstat, mse.stat)),
type = "l", ylab = "MSE", xlab = "distance in m", col = "black")
lines(distance, mse.nonstat, col = "blue")
legend("bottomright", legend = c("Stationary", "Non-stationary"), col = c("black", "blue"), lty = 1)
# Plot log-score
plot(distance, -ls.stat, main = "log-score", ylim = c(min(-ls.nonstat, -ls.stat), max(-ls.nonstat, -ls.stat)),
type = "l", ylab = "log-score", xlab = "distance in m", col = "black")
lines(distance, -ls.nonstat, col = "blue")
legend("bottomright", legend = c("Stationary", "Non-stationary"), col = c("black", "blue"), lty = 1)
3 Changed priors
3.1 Stationary model
- Observe that we are considering replicates.
stat.time.ini <- Sys.time()
################################################################################
################################# STATIONARY MODEL #############################
################################################################################
rspde_model_stat <- rspde.metric_graph(sf_graph,
parameterization = "matern",
nu = 0.5)str(rspde_model_stat)
## List of 21
## $ f :List of 3
## ..$ model : chr "cgeneric"
## ..$ n : int 7169
## ..$ cgeneric:List of 5
## .. ..$ model: chr "inla_cgeneric_rspde_stat_int_model"
## .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. ..$ n : int 7169
## .. ..$ debug: logi FALSE
## .. ..$ data :List of 5
## .. .. ..$ ints :List of 5
## .. .. .. ..$ n : int 7169
## .. .. .. ..$ debug : int 0
## .. .. .. ..$ m_alpha : int 1
## .. .. .. ..$ graph_opt_i: int [1:16024] 0 0 0 1 1 1 1 1 1 2 ...
## .. .. .. ..$ graph_opt_j: int [1:16024] 0 1 985 1 1700 5207 5364 6858 7041 2 ...
## .. .. ..$ doubles :List of 4
## .. .. .. ..$ matrices_less : num [1:32048] 0.0797 0 0 0.1564 0 ...
## .. .. .. ..$ theta.prior.mean: num [1:2] 0 0.223
## .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. ..$ nu : num 0.5
## .. .. ..$ characters:List of 4
## .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. ..$ parameterization : chr "matern"
## .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. ..$ matrices :List of 1
## .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. ..$ smatrices : list()
## .. ..- attr(*, "class")= chr "inla.cgeneric"
## $ cgeneric_type : chr "int_alpha"
## $ nu : num 0.5
## $ theta.prior.mean : num [1:2] 0 0.223
## $ prior.nu :List of 4
## ..$ loglocation: num -5e-06
## ..$ mean : num 1
## ..$ prec : num 3
## ..$ logscale : num 1
## $ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## $ start.nu : num 0.5
## $ integer.nu : logi TRUE
## $ start.theta : num [1:2] 0 0.223
## $ stationary : logi TRUE
## $ rspde.order : num 2
## $ dim : num 1
## $ est_nu : logi FALSE
## $ nu.upper.bound : num 2
## $ prior.nu.dist : chr "lognormal"
## $ debug : logi FALSE
## $ type.rational.approx: chr "chebfun"
## $ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## $ fem_mesh :List of 4
## ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. ..@ factors : list()
## ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. ..@ factors : list()
## ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. ..@ factors : list()
## ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. ..@ factors : list()
## $ parameterization : chr "matern"
## $ n.spde : int 7169
## - attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"data_rspde_bru_stat <- graph_data_rspde(rspde_model_stat,
repl = ".all",
loc_name = "loc")str(data_rspde_bru_stat)
## List of 4
## $ data :List of 8
## ..$ speed : num [1:14534] 0 12.9 24.1 32.2 0 ...
## ..$ SpeedLimit : num [1:14534] -0.101 -0.617 -0.617 -0.617 -0.927 ...
## ..$ .coord_x : num [1:14534] -122 -122 -122 -122 -122 ...
## ..$ .coord_y : num [1:14534] 37.8 37.8 37.8 37.8 37.8 ...
## ..$ .edge_number : num [1:14534] 1 4 6 6 9 14 14 14 18 20 ...
## ..$ .distance_on_edge: num [1:14534] 0.437 0.144 0.252 0.658 0.601 ...
## ..$ .group : chr [1:14534] "1" "1" "1" "1" ...
## ..$ loc : num [1:14534, 1:2] 1 4 6 6 9 14 14 14 18 20 ...
## ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## $ index:List of 3
## ..$ field : int [1:28676] 1 2 3 4 5 6 7 8 9 10 ...
## ..$ field.group: int [1:28676] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ field.repl : int [1:28676] 1 1 1 1 1 1 1 1 1 1 ...
## ..- attr(*, "class")= chr [1:2] "inla_rspde_index" "list"
## ..- attr(*, "rspde.order")= num 0
## ..- attr(*, "integer_nu")= logi TRUE
## ..- attr(*, "n.mesh")= int 7169
## ..- attr(*, "name")= chr "field"
## ..- attr(*, "n.group")= int 1
## ..- attr(*, "n.repl")= int 4
## $ repl : chr [1:14534] "1" "1" "1" "1" ...
## $ basis:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. ..@ i : int [1:29068] 0 555 1905 1906 0 1050 1471 1472 1473 1905 ...
## .. ..@ p : int [1:28677] 0 4 11 11 11 11 12 13 15 15 ...
## .. ..@ Dim : int [1:2] 14534 28676
## .. ..@ Dimnames:List of 2
## .. .. ..$ : NULL
## .. .. ..$ : NULL
## .. ..@ x : num [1:29068] 0.563 0.0495 0.3595 0.7935 0.437 ...
## .. ..@ factors : list()cmp_stat = speed ~ -1 +
Intercept(1) +
SpeedLimit +
field(loc, model = rspde_model_stat,
replicate = data_rspde_bru_stat[["repl"]])
rspde_fit_stat <-
bru(cmp_stat,
data = data_rspde_bru_stat[["data"]],
family = "gaussian",
options = list(verbose = FALSE)
)str(rspde_fit_stat)
## List of 56
## $ names.fixed : chr [1:2] "Intercept" "SpeedLimit"
## $ summary.fixed :'data.frame': 2 obs. of 7 variables:
## ..$ mean : num [1:2] 20.88 3.06
## ..$ sd : num [1:2] 0.374 0.28
## ..$ 0.025quant: num [1:2] 20.16 2.52
## ..$ 0.5quant : num [1:2] 20.88 3.06
## ..$ 0.975quant: num [1:2] 21.6 3.6
## ..$ mode : num [1:2] 20.88 3.06
## ..$ kld : num [1:2] 8.51e-08 4.36e-07
## $ marginals.fixed :List of 2
## ..$ Intercept : num [1:43, 1:2] 19.2 19.5 19.7 20 20.2 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ SpeedLimit: num [1:43, 1:2] 2 2.11 2.25 2.43 2.52 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ summary.lincomb :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb : NULL
## $ size.lincomb : NULL
## $ summary.lincomb.derived :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb.derived : NULL
## $ size.lincomb.derived : NULL
## $ mlik : num [1:2, 1] -55593 -55592
## ..- attr(*, "dimnames")=List of 2
## .. ..$ : chr [1:2] "log marginal-likelihood (integration)" "log marginal-likelihood (Gaussian)"
## .. ..$ : NULL
## $ cpo :List of 3
## ..$ cpo : logi(0)
## ..$ pit : logi(0)
## ..$ failure: logi(0)
## $ gcpo :List of 5
## ..$ gcpo : NULL
## ..$ kld : NULL
## ..$ mean : NULL
## ..$ sd : NULL
## ..$ groups: NULL
## $ po :List of 1
## ..$ po: num [1:14534] 0.00814 0.03515 0.03594 0.03166 0.02283 ...
## $ waic :List of 4
## ..$ waic : num 108688
## ..$ p.eff : num 2627
## ..$ local.waic : num [1:14534] 10.69 6.99 6.88 7.56 8.94 ...
## ..$ local.p.eff: num [1:14534] 0.532 0.146 0.114 0.326 0.688 ...
## $ residuals :List of 1
## ..$ deviance.residuals: num [1:14534] -1.956 -0.737 0.69 0.931 -1.336 ...
## $ model.random : chr "CGeneric"
## $ summary.random :List of 1
## ..$ field:'data.frame': 28676 obs. of 8 variables:
## .. ..$ ID : num [1:28676] 1 2 3 4 5 6 7 8 9 10 ...
## .. ..$ mean : num [1:28676] -2.789 -3.362 -0.694 -0.328 -0.459 ...
## .. ..$ sd : num [1:28676] 5.1 3.57 7.03 7.68 8.48 ...
## .. ..$ 0.025quant: num [1:28676] -12.8 -10.4 -14.5 -15.4 -17.1 ...
## .. ..$ 0.5quant : num [1:28676] -2.785 -3.362 -0.694 -0.328 -0.459 ...
## .. ..$ 0.975quant: num [1:28676] 7.2 3.65 13.09 14.73 16.16 ...
## .. ..$ mode : num [1:28676] -2.785 -3.362 -0.694 -0.328 -0.459 ...
## .. ..$ kld : num [1:28676] 1.71e-10 1.98e-11 4.17e-13 4.44e-13 5.65e-13 ...
## $ marginals.random :List of 1
## ..$ field:List of 28676
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## .. ..$ N : num 7169
## .. ..$ Ntotal: num 28676
## .. ..$ ngroup: num 1
## .. ..$ nrep : num 4
## $ summary.linear.predictor :'data.frame': 43212 obs. of 7 variables:
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## ..$ sd : num [1:43212] 3.44 6.36 6.24 6.78 6.07 ...
## ..$ 0.025quant: num [1:43212] 10.78 2.6 11.03 13.75 -1.32 ...
## ..$ 0.5quant : num [1:43212] 17.5 15.1 23.3 27 10.6 ...
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## ..$ kld : num [1:43212] 1.03e-10 3.11e-11 2.57e-11 3.27e-11 1.09e-10 ...
## $ marginals.linear.predictor : NULL
## $ summary.fitted.values :'data.frame': 43212 obs. of 6 variables:
## ..$ mean : num [1:43212] 17.5 15.1 23.3 27 10.6 ...
## ..$ sd : num [1:43212] 3.44 6.36 6.24 6.78 6.07 ...
## ..$ 0.025quant: num [1:43212] 10.78 2.6 11.03 13.75 -1.32 ...
## ..$ 0.5quant : num [1:43212] 17.5 15.1 23.3 27 10.6 ...
## ..$ 0.975quant: num [1:43212] 24.3 27.5 35.5 40.3 22.5 ...
## ..$ mode : num [1:43212] 17.5 15.1 23.3 27 10.6 ...
## $ marginals.fitted.values : NULL
## $ size.linear.predictor :List of 5
## ..$ n : num 28678
## ..$ N : num 28678
## ..$ Ntotal: num 43212
## ..$ ngroup: num 1
## ..$ nrep : num 2
## $ summary.hyperpar :'data.frame': 3 obs. of 6 variables:
## ..$ mean : num [1:3] 0.012 2.853 -1.089
## ..$ sd : num [1:3] 0.000186 0.070069 0.216523
## ..$ 0.025quant: num [1:3] 0.0116 2.7174 -1.5084
## ..$ 0.5quant : num [1:3] 0.012 2.852 -1.092
## ..$ 0.975quant: num [1:3] 0.0124 2.9933 -0.6559
## ..$ mode : num [1:3] 0.012 2.849 -1.102
## $ marginals.hyperpar :List of 3
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## .. ..- attr(*, "hyperid")= chr ""
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## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
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## .. ..- attr(*, "hyperid")= chr ""
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## .. .. ..$ : chr [1:2] "x" "y"
## $ internal.summary.hyperpar :'data.frame': 3 obs. of 6 variables:
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## ..$ sd : num [1:3] 0.0155 0.0701 0.2165
## ..$ 0.025quant: num [1:3] -4.45 2.72 -1.51
## ..$ 0.5quant : num [1:3] -4.42 2.85 -1.09
## ..$ 0.975quant: num [1:3] -4.394 2.993 -0.656
## ..$ mode : num [1:3] -4.42 2.85 -1.1
## $ internal.marginals.hyperpar:List of 3
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## ..$ Theta1 for field : num [1:43, 1:2] 2.56 2.6 2.64 2.69 2.72 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
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## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ offset.linear.predictor : num [1:43212] 0 0 0 0 0 0 0 0 0 0 ...
## $ model.spde2.blc : NULL
## $ summary.spde2.blc : list()
## $ marginals.spde2.blc : NULL
## $ size.spde2.blc : NULL
## $ model.spde3.blc : NULL
## $ summary.spde3.blc : list()
## $ marginals.spde3.blc : NULL
## $ size.spde3.blc : NULL
## $ logfile : chr [1:590] "[PANUA] PARDISO License is expired." "[PANUA] Please obtain a new PARDISO license at https://www.panua.ch/products/pardiso" " Read ntt 24 1 with max.threads 24" " Found num.threads = 24:1 max_threads = 24" ...
## $ misc :List of 22
## ..$ cov.intern : num [1:3, 1:3] 0.000242 -0.000223 -0.001012 -0.000223 0.004901 ...
## ..$ cor.intern : num [1:3, 1:3] 1 -0.205 -0.301 -0.205 1 ...
## ..$ cov.intern.eigenvalues : num [1:3] 0.000167 0.000374 0.051376
## ..$ cov.intern.eigenvectors : num [1:3, 1:3] 0.86 -0.482 0.169 -0.51 -0.824 ...
## ..$ reordering : int [1:28678] 12873 13100 14321 13538 12872 13564 13572 13574 13567 13558 ...
## ..$ theta.tags : chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## ..$ log.posterior.mode : num -55585
## ..$ stdev.corr.negative : num [1:3] 0.999 0.993 0.961
## ..$ stdev.corr.positive : num [1:3] 1 1.01 1.04
## ..$ to.theta :List of 3
## .. ..$ Log precision for the Gaussian observations:function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## ..$ from.theta :List of 3
## .. ..$ Log precision for the Gaussian observations:function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## ..$ mode.status : num 0
## ..$ lincomb.derived.correlation.matrix: NULL
## ..$ lincomb.derived.covariance.matrix : NULL
## ..$ opt.directions : num [1:3, 1:3] -0.434 0.645 -0.63 -0.68 0.225 ...
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## .. .. ..$ : chr [1:3] "theta:1" "theta:2" "theta:3"
## .. .. ..$ : chr [1:3] "dir:1" "dir:2" "dir:3"
## ..$ configs :List of 17
## .. ..$ .preopt : logi TRUE
## .. ..$ lite : logi FALSE
## .. ..$ mpred : int 14534
## .. ..$ npred : int 28678
## .. ..$ mnpred : int 43212
## .. ..$ Npred : int 14534
## .. ..$ n : int 28678
## .. ..$ nz : int 80857
## .. ..$ prior_nz : int 64098
## .. ..$ ntheta : int 3
## .. ..$ nconfig : int 15
## .. ..$ offsets : num [1:43212] 0 0 0 0 0 0 0 0 0 0 ...
## .. ..$ contents :List of 3
## .. .. ..$ tag : chr [1:5] "APredictor" "Predictor" "field" "Intercept" ...
## .. .. ..$ start : int [1:5] 1 14535 43213 71889 71890
## .. .. ..$ length: int [1:5] 14534 28678 28676 1 1
## .. ..$ A :Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. ..@ i : int [1:28678] 2 3 4 5 6 7 8 9 10 11 ...
## .. .. .. ..@ j : int [1:28678] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. ..$ : NULL
## .. .. .. .. ..$ : NULL
## .. .. .. ..@ x : num [1:28678] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ pA :Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. ..@ i : int [1:58122] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. ..@ j : int [1:58122] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. ..@ Dim : int [1:2] 14534 28678
## .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. ..$ : NULL
## .. .. .. .. ..$ : NULL
## .. .. .. ..@ x : num [1:58122] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ config :List of 15
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.42 2.85 -1.1
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -3.41
## .. .. .. ..$ log.posterior.orig: num 0
## .. .. .. ..$ mean : num [1:28678] -2.774 -3.361 -0.724 -0.355 -0.49 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.774 -3.361 -0.724 -0.355 -0.49 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04185 -0.00764 0.09807 0.09238 -0.03507 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.94 2.57 12.77 49.6 41.72 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0289 -0.0153 0.0618 0.0924 -0.0351 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
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## .. .. .. .. .. ..$ : NULL
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## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
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## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2102 -0.026 0.0104 0.0617 -0.127 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.5 15 23.3 27 10.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
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## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.4 2.84 -1.1
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.49
## .. .. .. ..$ log.posterior.orig: num -1.82
## .. .. .. ..$ mean : num [1:28678] -2.754 -3.354 -0.725 -0.355 -0.489 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.754 -3.354 -0.725 -0.355 -0.489 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04294 -0.00791 0.10059 0.09499 -0.03607 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.3 2.53 12.46 48.32 40.65 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0297 -0.0157 0.0635 0.095 -0.0361 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2149 -0.0266 0.0107 0.0632 -0.13 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.6 15 23.3 27 10.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.879 3.061 -2.754 -3.354 -0.725 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.45 2.86 -1.11
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.48
## .. .. .. ..$ log.posterior.orig: num -1.81
## .. .. .. ..$ mean : num [1:28678] -2.794 -3.367 -0.723 -0.353 -0.49 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.794 -3.367 -0.723 -0.353 -0.49 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0408 -0.00738 0.09563 0.08985 -0.03411 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 26.6 2.61 13.07 50.91 42.81 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0281 -0.0149 0.0601 0.0899 -0.0341 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2057 -0.0254 0.0101 0.0602 -0.124 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.5 15 23.3 27.1 10.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.88 3.063 -2.794 -3.367 -0.723 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.44 2.82 -1.09
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.48
## .. .. .. ..$ log.posterior.orig: num -1.81
## .. .. .. ..$ mean : num [1:28678] -2.487 -3.241 -0.728 -0.361 -0.489 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.487 -3.241 -0.728 -0.361 -0.489 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0437 -0.0089 0.1019 0.0991 -0.0376 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.1 2.8 12.5 46.5 39.2 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.031 -0.0164 0.0662 0.0991 -0.0376 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2085 -0.0263 0.0116 0.0636 -0.1286 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.7 15.1 23.1 26.8 10.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.857 3.115 -2.487 -3.241 -0.728 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.41 2.88 -1.11
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.49
## .. .. .. ..$ log.posterior.orig: num -1.82
## .. .. .. ..$ mean : num [1:28678] -3.067 -3.473 -0.72 -0.348 -0.489 ...
## .. .. .. ..$ improved.mean : num [1:28678] -3.067 -3.473 -0.72 -0.348 -0.489 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04018 -0.00647 0.09465 0.08622 -0.03272 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 26.81 2.32 13.02 52.86 44.41 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.027 -0.0143 0.0577 0.0862 -0.0327 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2119 -0.02566 0.00923 0.05978 -0.12511 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.4 15 23.4 27.3 10.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.9 3.01 -3.07 -3.47 -0.72 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.433 2.984 -0.674
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.91
## .. .. .. ..$ log.posterior.orig: num -2.24
## .. .. .. ..$ mean : num [1:28678] -2.419 -3.361 -0.638 -0.293 -0.325 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.419 -3.361 -0.638 -0.293 -0.325 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0462 -0.0104 0.1074 0.1076 -0.0411 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 24.1 3.1 12.2 48.4 41.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0334 -0.018 0.0714 0.1076 -0.0411 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21252 -0.0275 0.00926 0.06347 -0.13289 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.9 15.2 23.4 26.8 11.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.992 2.654 -2.419 -3.361 -0.638 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.42 2.72 -1.5
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.95
## .. .. .. ..$ log.posterior.orig: num -2.28
## .. .. .. ..$ mean : num [1:28678] -3.117 -3.32 -0.569 -0.206 -0.413 ...
## .. .. .. ..$ improved.mean : num [1:28678] -3.117 -3.32 -0.569 -0.206 -0.413 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.03884 -0.00548 0.09157 0.08091 -0.03027 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 27.42 2.01 13.14 46.98 38.41 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0258 -0.0132 0.055 0.0809 -0.0303 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2081 -0.0276 0.0122 0.0613 -0.122 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.2 15.2 23.1 27.1 10.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.775 3.508 -3.117 -3.32 -0.569 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.42 2.8 -1.34
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.18
## .. .. .. ..$ log.posterior.orig: num -1.51
## .. .. .. ..$ mean : num [1:28678] -3.154 -3.407 -0.655 -0.281 -0.469 ...
## .. .. .. ..$ improved.mean : num [1:28678] -3.154 -3.407 -0.655 -0.281 -0.469 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0385 -0.0056 0.0909 0.0808 -0.0305 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 27.74 2.12 13.34 51.12 42.35 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0255 -0.0133 0.0545 0.0808 -0.0305 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2073 -0.0262 0.0104 0.0593 -0.1213 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.2 15.1 23.3 27.3 10.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.832 3.287 -3.154 -3.407 -0.655 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.431 2.951 -0.863
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.15
## .. .. .. ..$ log.posterior.orig: num -1.47
## .. .. .. ..$ mean : num [1:28678] -2.742 -3.44 -0.705 -0.349 -0.426 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.742 -3.44 -0.705 -0.349 -0.426 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04251 -0.00826 0.09947 0.09532 -0.03636 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.74 2.78 12.79 51.99 44.18 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0297 -0.0159 0.0634 0.0953 -0.0364 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2099 -0.02577 0.00894 0.06072 -0.12762 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.6 15 23.4 27.1 10.7 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.958 2.781 -2.742 -3.44 -0.705 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.44 2.77 -1.33
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.6
## .. .. .. ..$ log.posterior.orig: num -1.93
## .. .. .. ..$ mean : num [1:28678] -2.812 -3.28 -0.659 -0.288 -0.469 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.812 -3.28 -0.659 -0.288 -0.469 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04035 -0.00688 0.09464 0.08756 -0.03301 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 26.71 2.42 13.03 47.5 39.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0277 -0.0144 0.059 0.0876 -0.033 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2054 -0.0265 0.0117 0.0615 -0.1234 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.5 15.1 23.1 27 10.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.806 3.346 -2.812 -3.28 -0.659 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.453 2.916 -0.853
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.62
## .. .. .. ..$ log.posterior.orig: num -1.95
## .. .. .. ..$ mean : num [1:28678] -2.416 -3.3 -0.709 -0.355 -0.425 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.416 -3.3 -0.709 -0.355 -0.425 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04471 -0.00975 0.10399 0.10331 -0.03941 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 24.75 3.04 12.5 48.27 41.07 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0322 -0.0172 0.0687 0.1033 -0.0394 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2079 -0.0262 0.0103 0.0628 -0.1295 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.8 15.1 23.3 26.8 11.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.933 2.843 -2.416 -3.3 -0.709 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.4 2.79 -1.33
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.49
## .. .. .. ..$ log.posterior.orig: num -1.82
## .. .. .. ..$ mean : num [1:28678] -3.129 -3.4 -0.657 -0.283 -0.47 ...
## .. .. .. ..$ improved.mean : num [1:28678] -3.129 -3.4 -0.657 -0.283 -0.47 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.03966 -0.00585 0.09356 0.08345 -0.03145 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 26.96 2.09 12.97 49.63 41.13 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0264 -0.0137 0.0562 0.0834 -0.0315 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2126 -0.0269 0.0107 0.061 -0.1246 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.3 15.1 23.3 27.2 10.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.831 3.286 -3.129 -3.4 -0.657 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.406 2.937 -0.858
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.5
## .. .. .. ..$ log.posterior.orig: num -1.83
## .. .. .. ..$ mean : num [1:28678] -2.719 -3.432 -0.704 -0.348 -0.424 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.719 -3.432 -0.704 -0.348 -0.424 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0438 -0.00859 0.10243 0.09844 -0.03755 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.01 2.73 12.44 50.43 42.86 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0306 -0.0164 0.0655 0.0984 -0.0375 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2153 -0.02649 0.00925 0.06246 -0.13114 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.6 15 23.4 27.1 10.7 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.958 2.781 -2.719 -3.432 -0.704 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:3] -4.42 2.75 -1.32
## .. .. .. .. ..- attr(*, "names")= chr [1:3] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field"
## .. .. .. ..$ log.posterior : num -4.95
## .. .. .. ..$ log.posterior.orig: num -2.28
## .. .. .. ..$ mean : num [1:28678] -2.789 -3.273 -0.661 -0.29 -0.47 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.789 -3.273 -0.661 -0.29 -0.47 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04156 -0.00717 0.09743 0.09042 -0.03409 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.96 2.38 12.67 46.11 38.26 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0286 -0.0149 0.0609 0.0904 -0.0341 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2106 -0.0272 0.0121 0.0632 -0.1268 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.5 15.1 23.1 26.9 10.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.805 3.344 -2.789 -3.273 -0.661 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
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## ..$ mode.status : num 0
## ..$ log.posterior.mode: num -55585
## $ joint.hyper :'data.frame': 15 obs. of 5 variables:
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## ..$ Theta2 for field : num [1:15] -1.1 -1.1 -1.11 -1.09 -1.11 ...
## ..$ Log posterior density : num [1:15] -55595 -55597 -55597 -55597 -55597 ...
## ..$ Total integration weight (log.dens included): num [1:15] 0.1836 0.0621 0.0629 0.0627 0.0621 ...
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## $ .args :List of 30
## ..$ formula :Class 'formula' language BRU.response ~ f(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_v| __truncated__ ...
## ..$ family : chr "gaussian"
## ..$ data :List of 21
## .. ..$ BRU.response : num [1:14534] 0 12.9 24.1 32.2 0 ...
## .. ..$ BRU.E : num [1:14534] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.Ntrials : num [1:14534] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.weights : num [1:14534] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.scale : num [1:14534] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.offset : num [1:14534] 0 0 0 0 0 0 0 0 0 0 ...
## .. ..$ Intercept : num [1:28678] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ Intercept.group : int [1:28678] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ Intercept.repl : int [1:28678] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ SpeedLimit : num [1:28678] NA 1 NA NA NA NA NA NA NA NA ...
## .. ..$ SpeedLimit.group : int [1:28678] NA 1 NA NA NA NA NA NA NA NA ...
## .. ..$ SpeedLimit.repl : int [1:28678] NA 1 NA NA NA NA NA NA NA NA ...
## .. ..$ field : int [1:28678] NA NA 1 2 3 4 5 6 7 8 ...
## .. ..$ field.group : int [1:28678] NA NA 1 1 1 1 1 1 1 1 ...
## .. ..$ field.repl : int [1:28678] NA NA 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU_Intercept_main_model : chr "linear"
## .. ..$ BRU_Intercept_values : num 1
## .. ..$ BRU_SpeedLimit_main_model: chr "linear"
## .. ..$ BRU_SpeedLimit_values : num 1
## .. ..$ BRU_field_main_model :List of 21
## .. .. ..$ f :List of 3
## .. .. .. ..$ model : chr "cgeneric"
## .. .. .. ..$ n : int 7169
## .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
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## .. .. .. .. .. .. ..$ graph_opt_j: int [1:16024] 0 1 985 1 1700 5207 5364 6858 7041 2 ...
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## .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_int_model"
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## .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. ..$ matrices :List of 1
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## .. .. .. ..$ loglocation: num -5e-06
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## .. .. ..$ stationary : logi TRUE
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## .. .. ..$ est_nu : logi FALSE
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## .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. ..$ debug : logi FALSE
## .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[7] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[7] for lp_scale"
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## .. .. .. ..$ short.name : chr "b8"
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## .. .. .. ..$ output.name : chr "beta[8] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[8] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ short.name : chr "b9"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[9] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[9] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ short.name : chr "b10"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[10] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[10] for lp_scale"
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## .. .. .. ..$ short.name : chr "b11"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[11] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[11] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta12 :List of 11
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## .. .. .. ..$ name : chr "beta12"
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## .. .. .. ..$ short.name : chr "b12"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[12] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[12] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta13 :List of 11
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## .. .. .. ..$ name : chr "beta13"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b13"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[13] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[13] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta14 :List of 11
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## .. .. .. ..$ name : chr "beta14"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b14"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[14] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[14] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta15 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta15"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b15"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[15] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[15] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta16 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta16"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b16"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[16] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[16] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta17 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta17"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b17"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[17] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[17] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta18 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b18"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[18] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[18] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta19 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta19"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b19"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[19] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[19] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta20 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b20"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[20] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[20] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta21 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta21"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b21"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[21] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[21] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta22 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta22"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b22"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[22] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[22] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. ..$ theta23 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[23] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[23] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta24 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[24] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[24] for lp_scale"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta25 :List of 11
## .. .. .. ..$ hyperid : num 103025
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta25"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b25"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[25] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[25] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta26 :List of 11
## .. .. .. ..$ hyperid : num 103026
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[26] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[26] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta27 :List of 11
## .. .. .. ..$ hyperid : num 103027
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[27] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[27] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta28 :List of 11
## .. .. .. ..$ hyperid : num 103028
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[28] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[28] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta29 :List of 11
## .. .. .. ..$ hyperid : num 103029
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta30 :List of 11
## .. .. .. ..$ hyperid : num 103030
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta31 :List of 11
## .. .. .. ..$ hyperid : num 103031
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta32 :List of 11
## .. .. .. ..$ hyperid : num 103032
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta33 :List of 11
## .. .. .. ..$ hyperid : num 103033
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta34 :List of 11
## .. .. .. ..$ hyperid : num 103034
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta35 :List of 11
## .. .. .. ..$ hyperid : num 103035
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta36 :List of 11
## .. .. .. ..$ hyperid : num 103036
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta37 :List of 11
## .. .. .. ..$ hyperid : num 103037
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta38 :List of 11
## .. .. .. ..$ hyperid : num 103038
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta39 :List of 11
## .. .. .. ..$ hyperid : num 103039
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta40 :List of 11
## .. .. .. ..$ hyperid : num 103040
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta41 :List of 11
## .. .. .. ..$ hyperid : num 103041
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta42 :List of 11
## .. .. .. ..$ hyperid : num 103042
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[42] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[42] for lp_scale"
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## .. .. .. ..$ output.name : chr "beta[60] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[60] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b62"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[62] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[62] for lp_scale"
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## .. .. .. ..$ short.name : chr "b63"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[63] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[63] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b64"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[64] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[64] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b65"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[65] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[65] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[66] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[66] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta67 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b67"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[67] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[67] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta68 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b68"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[68] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[68] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. ..$ theta69 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b69"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[69] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[69] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta70 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta70"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b70"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[70] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[70] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. ..$ theta71 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b71"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[71] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[71] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta72 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta72"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b72"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[72] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[72] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b73"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[73] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[73] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b74"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[74] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[74] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b75"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[75] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[75] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta76 :List of 11
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## .. .. .. ..$ short.name : chr "b76"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[76] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[76] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta77 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta77"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b77"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[77] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[77] for lp_scale"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta78 :List of 11
## .. .. .. ..$ hyperid : num 103078
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta79 :List of 11
## .. .. .. ..$ hyperid : num 103079
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta79"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b79"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[79] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[79] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta80 :List of 11
## .. .. .. ..$ hyperid : num 103080
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[80] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[80] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta81 :List of 11
## .. .. .. ..$ hyperid : num 103081
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta81"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b81"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[81] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[81] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta82 :List of 11
## .. .. .. ..$ hyperid : num 103082
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta82"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b82"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[82] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[82] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta83 :List of 11
## .. .. .. ..$ hyperid : num 103083
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta83"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b83"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[83] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[83] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta84 :List of 11
## .. .. .. ..$ hyperid : num 103084
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta84"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b84"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[84] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[84] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta85 :List of 11
## .. .. .. ..$ hyperid : num 103085
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta85"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b85"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[85] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[85] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta86 :List of 11
## .. .. .. ..$ hyperid : num 103086
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta86"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b86"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[86] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[86] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta87 :List of 11
## .. .. .. ..$ hyperid : num 103087
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta87"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b87"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[87] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[87] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta88 :List of 11
## .. .. .. ..$ hyperid : num 103088
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta88"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b88"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[88] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[88] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta89 :List of 11
## .. .. .. ..$ hyperid : num 103089
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta89"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b89"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[89] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[89] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta90 :List of 11
## .. .. .. ..$ hyperid : num 103090
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta90"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b90"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[90] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[90] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta91 :List of 11
## .. .. .. ..$ hyperid : num 103091
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta91"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b91"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[91] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[91] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta92 :List of 11
## .. .. .. ..$ hyperid : num 103092
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta92"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b92"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[92] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[92] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta93 :List of 11
## .. .. .. ..$ hyperid : num 103093
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta93"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b93"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[93] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[93] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta94 :List of 11
## .. .. .. ..$ hyperid : num 103094
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta94"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b94"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[94] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[94] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta95 :List of 11
## .. .. .. ..$ hyperid : num 103095
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta95"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b95"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[95] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ replicate:List of 1
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## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
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## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int 1
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: num 1
## .. .. .. .. .. .. ..$ values_multi :List of 3
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## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
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## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int 1
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 1
## .. .. .. .. .. .. ..$ n_inla : num 1
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 1 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..$ field :List of 12
## .. .. .. ..$ label : chr "field"
## .. .. .. ..$ inla.formula:Class 'formula' language ~. + f(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. .. .. ..$ main :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : symbol loc
## .. .. .. .. .. ..$ label : chr "field"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ model:List of 21
## .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. ..$ m_alpha : int 1
## .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:16024] 0 0 0 1 1 1 1 1 1 2 ...
## .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:16024] 0 1 985 1 1700 5207 5364 6858 7041 2 ...
## .. .. .. .. .. .. .. .. .. ..$ doubles :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ matrices_less : num [1:32048] 0.0797 0 0 0.1564 0 ...
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean: num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. .. .. .. ..$ characters:List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. ..$ matrices :List of 1
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. .. ..$ smatrices : list()
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. ..$ cgeneric_type : chr "int_alpha"
## .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. ..$ loglocation: num -5e-06
## .. .. .. .. .. .. .. ..$ mean : num 1
## .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. ..$ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## .. .. .. .. .. .. ..$ start.nu : num 0.5
## .. .. .. .. .. .. ..$ integer.nu : logi TRUE
## .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. .. ..$ stationary : logi TRUE
## .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. ..$ est_nu : logi FALSE
## .. .. .. .. .. .. ..$ nu.upper.bound : num 2
## .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. ..$ fem_mesh :List of 4
## .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. ..$ model :List of 21
## .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. ..$ m_alpha : int 1
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:16024] 0 0 0 1 1 1 1 1 1 2 ...
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:16024] 0 1 985 1 1700 5207 5364 6858 7041 2 ...
## .. .. .. .. .. .. .. .. ..$ doubles :List of 4
## .. .. .. .. .. .. .. .. .. ..$ matrices_less : num [1:32048] 0.0797 0 0 0.1564 0 ...
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean: num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. .. .. ..$ characters:List of 4
## .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. ..$ matrices :List of 1
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. ..$ smatrices : list()
## .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. ..$ cgeneric_type : chr "int_alpha"
## .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. ..$ loglocation: num -5e-06
## .. .. .. .. .. .. ..$ mean : num 1
## .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. ..$ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## .. .. .. .. .. ..$ start.nu : num 0.5
## .. .. .. .. .. ..$ integer.nu : logi TRUE
## .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. ..$ stationary : logi TRUE
## .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. ..$ est_nu : logi FALSE
## .. .. .. .. .. ..$ nu.upper.bound : num 2
## .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. ..$ fem_mesh :List of 4
## .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. ..$ type : chr "cgeneric"
## .. .. .. .. ..$ n : num 7169
## .. .. .. .. ..$ values : int [1:7169] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ group :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "field.group"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "exchangeable"
## .. .. .. .. ..$ type : chr "exchangeable"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : language data_rspde_bru_stat[["repl"]]
## .. .. .. .. .. ..$ label : chr "field.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 4
## .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : int 4
## .. .. .. .. ..$ values : int [1:4] 1 2 3 4
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x5e7d4c836468>
## .. .. .. ..$ fcall : language "f"(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main :List of 1
## .. .. .. .. .. .. .. .. ..$ model:List of 21
## .. .. .. .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ m_alpha : int 1
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:16024] 0 0 0 1 1 1 1 1 1 2 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:16024] 0 1 985 1 1700 5207 5364 6858 7041 2 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ doubles :List of 4
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices_less : num [1:32048] 0.0797 0 0 0.1564 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean: num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ characters:List of 4
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_int_model"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices :List of 1
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ smatrices : list()
## .. .. .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. .. .. .. ..$ cgeneric_type : chr "int_alpha"
## .. .. .. .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ loglocation: num -5e-06
## .. .. .. .. .. .. .. .. .. .. ..$ mean : num 1
## .. .. .. .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.5
## .. .. .. .. .. .. .. .. .. ..$ integer.nu : logi TRUE
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. ..$ stationary : logi TRUE
## .. .. .. .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. .. .. .. ..$ est_nu : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 2
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. .. .. .. ..$ fem_mesh :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ group :List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ replicate:List of 4
## .. .. .. .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. .. .. ..$ n_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 7169
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 7169
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:7169] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:7169] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 28676
## .. .. .. .. .. .. ..$ n_inla : num 28676
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 28676 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 28676
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..- attr(*, "class")= chr [1:2] "component_list" "list"
## .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..$ formula:Class 'formula' language BRU_response ~ f(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_v| __truncated__ ...
## .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..- attr(*, "class")= chr [1:2] "bru_model" "list"
## ..$ lhoods :List of 1
## .. ..$ :List of 17
## .. .. ..$ family : chr "gaussian"
## .. .. ..$ formula :Class 'formula' language speed ~ .
## .. .. .. .. ..- attr(*, ".Environment")=<environment: 0x5e7d513964f8>
## .. .. ..$ response_data :List of 4
## .. .. .. ..$ BRU_response: num [1:14534] 0 12.9 24.1 32.2 0 ...
## .. .. .. ..$ BRU_E : num 1
## .. .. .. ..$ BRU_Ntrials : num 1
## .. .. .. ..$ BRU_scale : num 1
## .. .. ..$ data :List of 8
## .. .. .. ..$ speed : num [1:14534] 0 12.9 24.1 32.2 0 ...
## .. .. .. ..$ SpeedLimit : num [1:14534] -0.101 -0.617 -0.617 -0.617 -0.927 ...
## .. .. .. ..$ .coord_x : num [1:14534] -122 -122 -122 -122 -122 ...
## .. .. .. ..$ .coord_y : num [1:14534] 37.8 37.8 37.8 37.8 37.8 ...
## .. .. .. ..$ .edge_number : num [1:14534] 1 4 6 6 9 14 14 14 18 20 ...
## .. .. .. ..$ .distance_on_edge: num [1:14534] 0.437 0.144 0.252 0.658 0.601 ...
## .. .. .. ..$ .group : chr [1:14534] "1" "1" "1" "1" ...
## .. .. .. ..$ loc : num [1:14534, 1:2] 1 4 6 6 9 14 14 14 18 20 ...
## .. .. .. ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## .. .. ..$ E : num 1
## .. .. ..$ Ntrials : num 1
## .. .. ..$ weights : num 1
## .. .. ..$ scale : num 1
## .. .. ..$ samplers : NULL
## .. .. ..$ linear : logi TRUE
## .. .. ..$ expr : NULL
## .. .. ..$ response : chr "BRU_response"
## .. .. ..$ inla.family : chr "gaussian"
## .. .. ..$ domain : NULL
## .. .. ..$ used :List of 2
## .. .. .. ..$ effect: chr [1:3] "Intercept" "SpeedLimit" "field"
## .. .. .. ..$ latent: chr(0)
## .. .. .. ..- attr(*, "class")= chr "bru_used"
## .. .. ..$ allow_combine : logi TRUE
## .. .. ..$ control.family: NULL
## .. .. ..- attr(*, "class")= chr [1:2] "bru_like" "list"
## .. ..- attr(*, "class")= chr [1:2] "bru_like_list" "list"
## ..$ options :List of 14
## .. ..$ bru_verbose : num 0
## .. ..$ bru_verbose_store: num Inf
## .. ..$ bru_max_iter : num 1
## .. ..$ bru_run : logi TRUE
## .. ..$ bru_int_args :List of 3
## .. .. ..$ method: chr "stable"
## .. .. ..$ nsub1 : num 30
## .. .. ..$ nsub2 : num 9
## .. ..$ bru_method :List of 6
## .. .. ..$ taylor : chr "pandemic"
## .. .. ..$ search : chr "all"
## .. .. ..$ factor : num 1.62
## .. .. ..$ rel_tol : num 0.1
## .. .. ..$ max_step : num 2
## .. .. ..$ line_opt_method: chr "onestep"
## .. ..$ bru_compress_cp : logi TRUE
## .. ..$ bru_debug : logi FALSE
## .. ..$ E : num 1
## .. ..$ Ntrials : num 1
## .. ..$ control.compute :List of 3
## .. .. ..$ config: logi TRUE
## .. .. ..$ dic : logi TRUE
## .. .. ..$ waic : logi TRUE
## .. ..$ control.inla :List of 1
## .. .. ..$ int.strategy: chr "auto"
## .. ..$ control.fixed :List of 1
## .. .. ..$ expand.factor.strategy: chr "inla"
## .. ..$ verbose : logi FALSE
## .. ..- attr(*, "class")= chr [1:2] "bru_options" "list"
## ..$ inlabru_version: Named chr "2.10.1.9004"
## .. ..- attr(*, "names")= chr "version"
## ..$ INLA_version : Named chr "24.04.22"
## .. ..- attr(*, "names")= chr "version"
## ..- attr(*, "class")= chr [1:2] "bru_info" "list"
## - attr(*, "class")= chr [1:3] "bru" "iinla" "inla"stat.time.fin <- Sys.time()
print(stat.time.fin - stat.time.ini)## Time difference of 30.14785 secssummary(rspde_fit_stat)## inlabru version: 2.10.1.9004
## INLA version: 24.04.22
## Components:
## Intercept: main = linear(1), group = exchangeable(1L), replicate = iid(1L)
## SpeedLimit: main = linear(SpeedLimit), group = exchangeable(1L), replicate = iid(1L)
## field: main = cgeneric(loc), group = exchangeable(1L), replicate = iid(data_rspde_bru_stat[["repl"]])
## Likelihoods:
## Family: 'gaussian'
## Data class: 'metric_graph_data', 'list'
## Predictor: speed ~ .
## Time used:
## Pre = 0.184, Running = 3.49, Post = 0.923, Total = 4.6
## Fixed effects:
## mean sd 0.025quant 0.5quant 0.975quant mode kld
## Intercept 20.883 0.374 20.163 20.877 21.638 20.877 0
## SpeedLimit 3.060 0.280 2.517 3.062 3.597 3.062 0
##
## Random effects:
## Name Model
## field CGeneric
##
## Model hyperparameters:
## mean sd 0.025quant 0.5quant
## Precision for the Gaussian observations 0.012 0.000 0.012 0.012
## Theta1 for field 2.853 0.070 2.717 2.852
## Theta2 for field -1.089 0.217 -1.508 -1.092
## 0.975quant mode
## Precision for the Gaussian observations 0.012 0.012
## Theta1 for field 2.993 2.849
## Theta2 for field -0.656 -1.102
##
## Deviance Information Criterion (DIC) ...............: 108508.41
## Deviance Information Criterion (DIC, saturated) ....: 17488.95
## Effective number of parameters .....................: 2958.72
##
## Watanabe-Akaike information criterion (WAIC) ...: 108687.88
## Effective number of parameters .................: 2626.72
##
## Marginal log-Likelihood: -55592.15
## is computed
## Posterior summaries for the linear predictor and the fitted values are computed
## (Posterior marginals needs also 'control.compute=list(return.marginals.predictor=TRUE)')fit.rspde = rspde.result(rspde_fit_stat, "field", rspde_model_stat)
summary(fit.rspde)## mean sd 0.025quant 0.5quant 0.975quant mode
## std.dev 17.384300 1.214610 15.156800 17.326700 19.92440 17.193300
## range 0.344362 0.075386 0.221998 0.335451 0.51689 0.3180443.2 Nonstationary model
- Observe that we are using the computed parameters from the stationary model as initial values for the nonstationary models.
nonstat.time.ini <- Sys.time()
################################################################################
############################# NON STATIONARY MODEL #############################
################################################################################
B.sigma = cbind(0, 1, 0, mesh$SpeedLimit, 0)
B.range = cbind(0, 0, 1, 0, mesh$SpeedLimit)
init.vec.theta = c(fit.rspde$summary.log.std.dev$mode,
fit.rspde$summary.log.range$mode,
rep(0, (ncol(B.sigma)-3)))
rspde_model_nonstat <- rspde.metric_graph(sf_graph,
start.theta = init.vec.theta,
theta.prior.mean = init.vec.theta,
theta.prior.prec = diag(rep(20,length(init.vec.theta))),
B.sigma = B.sigma,
B.range = B.range,
parameterization = "matern",
nu = 0.5)str(rspde_model_nonstat)
## List of 21
## $ f :List of 3
## ..$ model : chr "cgeneric"
## ..$ n : int 7169
## ..$ cgeneric:List of 5
## .. ..$ model: chr "inla_cgeneric_rspde_nonstat_int_model"
## .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. ..$ n : int 7169
## .. ..$ debug: logi FALSE
## .. ..$ data :List of 5
## .. .. ..$ ints :List of 5
## .. .. .. ..$ n : int 7169
## .. .. .. ..$ debug : int 0
## .. .. .. ..$ graph_opt_i: int [1:16024] 0 0 0 1 1 1 1 1 1 2 ...
## .. .. .. ..$ graph_opt_j: int [1:16024] 0 1 985 1 1700 5207 5364 6858 7041 2 ...
## .. .. .. ..$ alpha : int 1
## .. .. ..$ doubles :List of 2
## .. .. .. ..$ start.theta : num [1:4] 2.85 -1.1 0 0
## .. .. .. ..$ theta.prior.mean: num [1:4] 2.85 -1.1 0 0
## .. .. ..$ characters:List of 3
## .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. ..$ matrices :List of 3
## .. .. .. ..$ B_tau : num [1:35847] 7169 5 -0.693 -1 0.5 ...
## .. .. .. ..$ B_kappa : num [1:35847] 7169 5 0.693 0 -1 ...
## .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 20 0 0 0 0 20 0 0 ...
## .. .. ..$ smatrices :List of 2
## .. .. .. ..$ C: num [1:21510] 7169 7169 7169 0 1 ...
## .. .. .. ..$ G: num [1:74640] 7169 7169 24879 0 1 ...
## .. ..- attr(*, "class")= chr "inla.cgeneric"
## $ cgeneric_type : chr "int_alpha"
## $ nu : num 0.5
## $ theta.prior.mean : num [1:4] 2.85 -1.1 0 0
## $ prior.nu :List of 4
## ..$ loglocation: num -5e-06
## ..$ mean : num 1
## ..$ prec : num 3
## ..$ logscale : num 1
## $ theta.prior.prec : num [1:4, 1:4] 20 0 0 0 0 20 0 0 0 0 ...
## $ start.nu : num 0.5
## $ integer.nu : logi TRUE
## $ start.theta : num [1:4] 2.85 -1.1 0 0
## $ stationary : logi FALSE
## $ rspde.order : num 2
## $ dim : num 1
## $ est_nu : logi FALSE
## $ nu.upper.bound : num 2
## $ prior.nu.dist : chr "lognormal"
## $ debug : logi FALSE
## $ type.rational.approx: chr "chebfun"
## $ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## $ fem_mesh :List of 4
## ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. ..@ factors : list()
## ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. ..@ factors : list()
## ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. ..@ factors : list()
## ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. ..@ factors : list()
## $ parameterization : chr "matern"
## $ n.spde : int 7169
## - attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"data_rspde_bru_nonstat <- graph_data_rspde(rspde_model_nonstat,
repl = ".all",
loc_name = "loc")str(data_rspde_bru_nonstat)
## List of 4
## $ data :List of 8
## ..$ speed : num [1:14534] 0 12.9 24.1 32.2 0 ...
## ..$ SpeedLimit : num [1:14534] -0.101 -0.617 -0.617 -0.617 -0.927 ...
## ..$ .coord_x : num [1:14534] -122 -122 -122 -122 -122 ...
## ..$ .coord_y : num [1:14534] 37.8 37.8 37.8 37.8 37.8 ...
## ..$ .edge_number : num [1:14534] 1 4 6 6 9 14 14 14 18 20 ...
## ..$ .distance_on_edge: num [1:14534] 0.437 0.144 0.252 0.658 0.601 ...
## ..$ .group : chr [1:14534] "1" "1" "1" "1" ...
## ..$ loc : num [1:14534, 1:2] 1 4 6 6 9 14 14 14 18 20 ...
## ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## $ index:List of 3
## ..$ field : int [1:28676] 1 2 3 4 5 6 7 8 9 10 ...
## ..$ field.group: int [1:28676] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ field.repl : int [1:28676] 1 1 1 1 1 1 1 1 1 1 ...
## ..- attr(*, "class")= chr [1:2] "inla_rspde_index" "list"
## ..- attr(*, "rspde.order")= num 0
## ..- attr(*, "integer_nu")= logi TRUE
## ..- attr(*, "n.mesh")= int 7169
## ..- attr(*, "name")= chr "field"
## ..- attr(*, "n.group")= int 1
## ..- attr(*, "n.repl")= int 4
## $ repl : chr [1:14534] "1" "1" "1" "1" ...
## $ basis:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. ..@ i : int [1:29068] 0 555 1905 1906 0 1050 1471 1472 1473 1905 ...
## .. ..@ p : int [1:28677] 0 4 11 11 11 11 12 13 15 15 ...
## .. ..@ Dim : int [1:2] 14534 28676
## .. ..@ Dimnames:List of 2
## .. .. ..$ : NULL
## .. .. ..$ : NULL
## .. ..@ x : num [1:29068] 0.563 0.0495 0.3595 0.7935 0.437 ...
## .. ..@ factors : list()cmp_nonstat = speed ~ -1 +
Intercept(1) +
SpeedLimit +
field(loc, model = rspde_model_nonstat,
replicate = data_rspde_bru_nonstat[["repl"]])
rspde_fit_nonstat <-
bru(cmp_nonstat,
data = data_rspde_bru_nonstat[["data"]],
family = "gaussian",
options = list(verbose = FALSE)
)str(rspde_fit_nonstat)
## List of 56
## $ names.fixed : chr [1:2] "Intercept" "SpeedLimit"
## $ summary.fixed :'data.frame': 2 obs. of 7 variables:
## ..$ mean : num [1:2] 20.86 3.08
## ..$ sd : num [1:2] 0.36 0.218
## ..$ 0.025quant: num [1:2] 20.16 2.65
## ..$ 0.5quant : num [1:2] 20.86 3.09
## ..$ 0.975quant: num [1:2] 21.57 3.51
## ..$ mode : num [1:2] 20.86 3.08
## ..$ kld : num [1:2] 1.06e-08 5.15e-08
## $ marginals.fixed :List of 2
## ..$ Intercept : num [1:43, 1:2] 19.3 19.5 19.7 20 20.2 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ SpeedLimit: num [1:43, 1:2] 2.09 2.21 2.36 2.56 2.65 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ summary.lincomb :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb : NULL
## $ size.lincomb : NULL
## $ summary.lincomb.derived :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb.derived : NULL
## $ size.lincomb.derived : NULL
## $ mlik : num [1:2, 1] -55593 -55590
## ..- attr(*, "dimnames")=List of 2
## .. ..$ : chr [1:2] "log marginal-likelihood (integration)" "log marginal-likelihood (Gaussian)"
## .. ..$ : NULL
## $ cpo :List of 3
## ..$ cpo : logi(0)
## ..$ pit : logi(0)
## ..$ failure: logi(0)
## $ gcpo :List of 5
## ..$ gcpo : NULL
## ..$ kld : NULL
## ..$ mean : NULL
## ..$ sd : NULL
## ..$ groups: NULL
## $ po :List of 1
## ..$ po: num [1:14534] 0.00817 0.03517 0.03594 0.03169 0.02292 ...
## $ waic :List of 4
## ..$ waic : num 108677
## ..$ p.eff : num 2632
## ..$ local.waic : num [1:14534] 10.68 6.99 6.88 7.56 8.93 ...
## ..$ local.p.eff: num [1:14534] 0.534 0.146 0.114 0.327 0.687 ...
## $ residuals :List of 1
## ..$ deviance.residuals: num [1:14534] -1.955 -0.737 0.691 0.931 -1.333 ...
## $ model.random : chr "CGeneric"
## $ summary.random :List of 1
## ..$ field:'data.frame': 28676 obs. of 8 variables:
## .. ..$ ID : num [1:28676] 1 2 3 4 5 6 7 8 9 10 ...
## .. ..$ mean : num [1:28676] -2.807 -3.343 -0.7 -0.332 -0.473 ...
## .. ..$ sd : num [1:28676] 5.11 3.57 7.02 7.68 8.48 ...
## .. ..$ 0.025quant: num [1:28676] -12.8 -10.4 -14.5 -15.4 -17.1 ...
## .. ..$ 0.5quant : num [1:28676] -2.805 -3.343 -0.7 -0.333 -0.473 ...
## .. ..$ 0.975quant: num [1:28676] 7.22 3.67 13.07 14.72 16.15 ...
## .. ..$ mode : num [1:28676] -2.805 -3.343 -0.7 -0.333 -0.473 ...
## .. ..$ kld : num [1:28676] 5.74e-11 2.97e-11 1.96e-13 9.39e-14 7.88e-14 ...
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## $ size.random :List of 1
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## .. ..$ n : num 7169
## .. ..$ N : num 7169
## .. ..$ Ntotal: num 28676
## .. ..$ ngroup: num 1
## .. ..$ nrep : num 4
## $ summary.linear.predictor :'data.frame': 43212 obs. of 7 variables:
## ..$ mean : num [1:43212] 17.5 15.1 23.3 27.1 10.5 ...
## ..$ sd : num [1:43212] 3.44 6.37 6.26 6.79 6.07 ...
## ..$ 0.025quant: num [1:43212] 10.75 2.57 11.01 13.75 -1.38 ...
## ..$ 0.5quant : num [1:43212] 17.5 15.1 23.3 27.1 10.5 ...
## ..$ 0.975quant: num [1:43212] 24.3 27.5 35.5 40.4 22.4 ...
## ..$ mode : num [1:43212] 17.5 15.1 23.3 27.1 10.5 ...
## ..$ kld : num [1:43212] 5.31e-11 3.66e-11 3.64e-11 3.99e-11 5.28e-11 ...
## $ marginals.linear.predictor : NULL
## $ summary.fitted.values :'data.frame': 43212 obs. of 6 variables:
## ..$ mean : num [1:43212] 17.5 15.1 23.3 27.1 10.5 ...
## ..$ sd : num [1:43212] 3.44 6.37 6.26 6.79 6.07 ...
## ..$ 0.025quant: num [1:43212] 10.75 2.57 11.01 13.75 -1.38 ...
## ..$ 0.5quant : num [1:43212] 17.5 15.1 23.3 27.1 10.5 ...
## ..$ 0.975quant: num [1:43212] 24.3 27.5 35.5 40.4 22.4 ...
## ..$ mode : num [1:43212] 17.5 15.1 23.3 27.1 10.5 ...
## $ marginals.fitted.values : NULL
## $ size.linear.predictor :List of 5
## ..$ n : num 28678
## ..$ N : num 28678
## ..$ Ntotal: num 43212
## ..$ ngroup: num 1
## ..$ nrep : num 2
## $ summary.hyperpar :'data.frame': 5 obs. of 6 variables:
## ..$ mean : num [1:5] 0.012 2.8646 -1.0641 0.0686 0.1432
## ..$ sd : num [1:5] 0.000178 0.03455 0.101112 0.070814 0.158684
## ..$ 0.025quant: num [1:5] 0.0116 2.8027 -1.245 -0.0373 -0.0931
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## ..$ 0.975quant: num [1:5] 0.0123 2.9387 -0.8468 0.2325 0.5108
## ..$ mode : num [1:5] 0.012 2.854 -1.096 0.013 0.017
## $ marginals.hyperpar :List of 5
## ..$ Precision for the Gaussian observations: num [1:43, 1:2] 0.0112 0.0113 0.0114 0.0116 0.0116 ...
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## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta1 for field : num [1:43, 1:2] 2.74 2.75 2.77 2.79 2.8 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta2 for field : num [1:43, 1:2] -1.43 -1.39 -1.34 -1.27 -1.25 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta3 for field : num [1:43, 1:2] -0.1112 -0.0949 -0.0746 -0.0505 -0.0373 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta4 for field : num [1:43, 1:2] -0.2558 -0.22 -0.1752 -0.1223 -0.0931 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ internal.summary.hyperpar :'data.frame': 5 obs. of 6 variables:
## ..$ mean : num [1:5] -4.4241 2.8653 -1.0618 0.0707 0.1477
## ..$ sd : num [1:5] 0.0148 0.0345 0.1011 0.0705 0.158
## ..$ 0.025quant: num [1:5] -4.4541 2.8027 -1.245 -0.0373 -0.0931
## ..$ 0.5quant : num [1:5] -4.4238 2.8633 -1.0678 0.0597 0.123
## ..$ 0.975quant: num [1:5] -4.396 2.939 -0.847 0.233 0.511
## ..$ mode : num [1:5] -4.4227 2.8547 -1.094 0.0144 0.02
## $ internal.marginals.hyperpar:List of 5
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## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta1 for field : num [1:43, 1:2] 2.74 2.75 2.77 2.79 2.8 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta2 for field : num [1:43, 1:2] -1.43 -1.39 -1.34 -1.27 -1.25 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta3 for field : num [1:43, 1:2] -0.1112 -0.0949 -0.0746 -0.0505 -0.0373 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta4 for field : num [1:43, 1:2] -0.2558 -0.22 -0.1752 -0.1223 -0.0931 ...
## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ offset.linear.predictor : num [1:43212] 0 0 0 0 0 0 0 0 0 0 ...
## $ model.spde2.blc : NULL
## $ summary.spde2.blc : list()
## $ marginals.spde2.blc : NULL
## $ size.spde2.blc : NULL
## $ model.spde3.blc : NULL
## $ summary.spde3.blc : list()
## $ marginals.spde3.blc : NULL
## $ size.spde3.blc : NULL
## $ logfile : chr [1:642] "[PANUA] PARDISO License is expired." "[PANUA] Please obtain a new PARDISO license at https://www.panua.ch/products/pardiso" " Read ntt 24 1 with max.threads 24" " Found num.threads = 24:1 max_threads = 24" ...
## $ misc :List of 22
## ..$ cov.intern : num [1:5, 1:5] 2.29e-04 -4.47e-05 -4.45e-04 4.23e-05 1.10e-04 ...
## ..$ cor.intern : num [1:5, 1:5] 1 -0.0624 -0.2077 0.0456 0.0541 ...
## ..$ cov.intern.eigenvalues : num [1:5] 0.000167 0.000371 0.000215 0.025897 0.017669
## ..$ cov.intern.eigenvectors : num [1:5, 1:5] 0.8578 -0.4843 0.1692 0.0303 -0.012 ...
## ..$ reordering : int [1:28678] 19992 20757 21455 21443 21435 21440 21453 21457 18979 18997 ...
## ..$ theta.tags : chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## ..$ log.posterior.mode : num -55578
## ..$ stdev.corr.negative : num [1:5] 1.007 0.888 0.943 1.447 2.802
## ..$ stdev.corr.positive : num [1:5] 0.993 1.126 1.06 0.691 0.357
## ..$ to.theta :List of 5
## .. ..$ Log precision for the Gaussian observations:function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## .. ..$ Theta3 for field :function (x)
## .. ..$ Theta4 for field :function (x)
## ..$ from.theta :List of 5
## .. ..$ Log precision for the Gaussian observations:function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## .. ..$ Theta3 for field :function (x)
## .. ..$ Theta4 for field :function (x)
## ..$ mode.status : num 0
## ..$ lincomb.derived.correlation.matrix: NULL
## ..$ lincomb.derived.covariance.matrix : NULL
## ..$ opt.directions : num [1:5, 1:5] 0.561 0.401 -0.501 0.117 0.51 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : chr [1:5] "theta:1" "theta:2" "theta:3" "theta:4" ...
## .. .. ..$ : chr [1:5] "dir:1" "dir:2" "dir:3" "dir:4" ...
## ..$ configs :List of 17
## .. ..$ .preopt : logi TRUE
## .. ..$ lite : logi FALSE
## .. ..$ mpred : int 14534
## .. ..$ npred : int 28678
## .. ..$ mnpred : int 43212
## .. ..$ Npred : int 14534
## .. ..$ n : int 28678
## .. ..$ nz : int 80857
## .. ..$ prior_nz : int 64098
## .. ..$ ntheta : int 5
## .. ..$ nconfig : int 27
## .. ..$ offsets : num [1:43212] 0 0 0 0 0 0 0 0 0 0 ...
## .. ..$ contents :List of 3
## .. .. ..$ tag : chr [1:5] "APredictor" "Predictor" "field" "Intercept" ...
## .. .. ..$ start : int [1:5] 1 14535 43213 71889 71890
## .. .. ..$ length: int [1:5] 14534 28678 28676 1 1
## .. ..$ A :Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. ..@ i : int [1:28678] 2 3 4 5 6 7 8 9 10 11 ...
## .. .. .. ..@ j : int [1:28678] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. ..$ : NULL
## .. .. .. .. ..$ : NULL
## .. .. .. ..@ x : num [1:28678] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ pA :Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. ..@ i : int [1:58122] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. ..@ j : int [1:58122] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. ..@ Dim : int [1:2] 14534 28678
## .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. ..$ : NULL
## .. .. .. .. ..$ : NULL
## .. .. .. ..@ x : num [1:58122] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ config :List of 27
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.42253 2.85256 -1.10047 0.00865 0.00714
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -4.6
## .. .. .. ..$ log.posterior.orig: num 0
## .. .. .. ..$ mean : num [1:28678] -2.79 -3.362 -0.726 -0.357 -0.492 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.79 -3.362 -0.726 -0.357 -0.492 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04179 -0.00762 0.09823 0.09252 -0.03512 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.98 2.56 12.74 49.53 41.66 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0289 -0.0153 0.0619 0.0925 -0.0351 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
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## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2105 -0.0261 0.0103 0.0616 -0.127 ...
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## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.5 15 23.3 27.1 10.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.882 3.05 -2.79 -3.362 -0.726 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.39547 2.83728 -1.09513 0.00961 0.00676
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.29
## .. .. .. ..$ log.posterior.orig: num -3.02
## .. .. .. ..$ mean : num [1:28678] -2.762 -3.351 -0.726 -0.358 -0.492 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.762 -3.351 -0.726 -0.358 -0.492 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04321 -0.00798 0.10155 0.09602 -0.03646 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.15 2.52 12.35 47.83 40.24 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0299 -0.0159 0.0642 0.096 -0.0365 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
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## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
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## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2165 -0.0269 0.0107 0.0636 -0.1309 ...
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## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.6 15.1 23.3 27 10.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.882 3.049 -2.762 -3.351 -0.726 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.44999 2.86806 -1.10588 0.00768 0.00752
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.29
## .. .. .. ..$ log.posterior.orig: num -3.02
## .. .. .. ..$ mean : num [1:28678] -2.819 -3.373 -0.725 -0.355 -0.492 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.819 -3.373 -0.725 -0.355 -0.492 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04041 -0.00727 0.09497 0.0891 -0.03382 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 26.84 2.61 13.15 51.31 43.14 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0278 -0.0147 0.0596 0.0891 -0.0338 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
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## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.20455 -0.0253 0.00995 0.05967 -0.12315 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.5 15 23.3 27.1 10.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.883 3.052 -2.819 -3.373 -0.725 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.44989 2.80872 -1.08731 0.00902 0.00731
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.59
## .. .. .. ..$ log.posterior.orig: num -3.33
## .. .. .. ..$ mean : num [1:28678] -2.38 -3.188 -0.73 -0.365 -0.491 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.38 -3.188 -0.73 -0.365 -0.491 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04449 -0.00946 0.10378 0.10234 -0.03886 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 24.73 2.89 12.37 45.14 38.02 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0319 -0.0169 0.0684 0.1023 -0.0389 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2079 -0.0265 0.0121 0.0643 -0.1294 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.8 15.1 23.1 26.7 11.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.85 3.13 -2.38 -3.19 -0.73 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.40096 2.88712 -1.11084 0.00836 0.00701
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.04
## .. .. .. ..$ log.posterior.orig: num -2.77
## .. .. .. ..$ mean : num [1:28678] -3.129 -3.49 -0.72 -0.349 -0.492 ...
## .. .. .. ..$ improved.mean : num [1:28678] -3.129 -3.49 -0.72 -0.349 -0.492 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.03989 -0.00628 0.09431 0.08545 -0.03243 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 26.97 2.28 13.03 53.3 44.78 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0267 -0.0141 0.0571 0.0855 -0.0324 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21244 -0.02568 0.00898 0.05942 -0.12488 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.3 15 23.4 27.3 10.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.91 2.99 -3.13 -3.49 -0.72 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4235 2.8532 -1.10111 0.04358 -0.00847
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.55
## .. .. .. ..$ log.posterior.orig: num -3.28
## .. .. .. ..$ mean : num [1:28678] -2.73 -3.272 -0.713 -0.351 -0.491 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.73 -3.272 -0.713 -0.351 -0.491 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0422 -0.0081 0.1012 0.0971 -0.0369 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.84 2.64 12.44 47.31 39.81 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0292 -0.0158 0.0649 0.0971 -0.0369 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.211 -0.0267 0.0106 0.0619 -0.1279 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.6 15.1 23.3 27 10.7 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.862 3.029 -2.73 -3.272 -0.713 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4217 2.852 -1.0999 -0.0224 0.021
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.15
## .. .. .. ..$ log.posterior.orig: num -2.88
## .. .. .. ..$ mean : num [1:28678] -2.815 -3.411 -0.726 -0.349 -0.483 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.815 -3.411 -0.726 -0.349 -0.483 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0415 -0.0072 0.0957 0.0887 -0.0337 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 26.1 2.49 13.01 51.59 43.37 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0285 -0.0149 0.0593 0.0887 -0.0337 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2101 -0.0254 0.0102 0.0614 -0.1262 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.5 15 23.3 27.1 10.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.87 3.079 -2.815 -3.411 -0.726 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4268 2.9102 -0.9129 -0.0672 -0.1676
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -5.59
## .. .. .. ..$ log.posterior.orig: num -2.32
## .. .. .. ..$ mean : num [1:28678] -2.576 -3.307 -0.657 -0.304 -0.391 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.576 -3.307 -0.657 -0.304 -0.391 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04372 -0.00895 0.10285 0.10027 -0.03827 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.11 2.83 12.45 49.25 41.9 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0308 -0.0166 0.0666 0.1003 -0.0383 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21159 -0.02583 0.00999 0.06248 -0.1296 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.7 15 23.3 27 10.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.888 2.894 -2.576 -3.307 -0.657 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.414 2.732 -1.493 0.168 0.373
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -10.8
## .. .. .. ..$ log.posterior.orig: num -7.48
## .. .. .. ..$ mean : num [1:28678] -3.13 -3.244 -0.561 -0.207 -0.42 ...
## .. .. .. ..$ improved.mean : num [1:28678] -3.13 -3.244 -0.561 -0.207 -0.42 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.03867 -0.00516 0.09152 0.07955 -0.02935 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 27.45 1.88 13.03 43.83 35.19 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0256 -0.0129 0.0548 0.0795 -0.0293 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.208 -0.0286 0.0133 0.062 -0.1225 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.2 15.2 23 27.1 10.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.719 3.58 -3.13 -3.244 -0.561 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4211 2.8278 -1.1779 -0.0263 -0.069
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -4.05
## .. .. .. ..$ log.posterior.orig: num -0.786
## .. .. .. ..$ mean : num [1:28678] -2.847 -3.349 -0.688 -0.319 -0.469 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.847 -3.349 -0.688 -0.319 -0.469 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04116 -0.00722 0.0969 0.09038 -0.03428 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 26.28 2.47 12.83 49.6 41.61 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0282 -0.0149 0.0605 0.0904 -0.0343 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21 -0.026 0.0105 0.0614 -0.1259 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.5 15 23.3 27.1 10.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.855 3.142 -2.847 -3.349 -0.688 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.434 3.047 -0.493 0.283 0.605
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -15.6
## .. .. .. ..$ log.posterior.orig: num -12.3
## .. .. .. ..$ mean : num [1:28678] -2.181 -3.214 -0.564 -0.218 -0.24 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.181 -3.214 -0.564 -0.218 -0.24 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0478 -0.0111 0.11 0.1114 -0.0425 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 23.4 3.16 12.05 46.29 39.53 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.035 -0.0187 0.0741 0.1114 -0.0425 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21339 -0.02796 0.00995 0.06495 -0.1351 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18 15.2 23.3 26.7 11.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.884 2.669 -2.181 -3.214 -0.564 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4202 2.8097 -1.3176 0.0496 0.1431
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -5.45
## .. .. .. ..$ log.posterior.orig: num -2.19
## .. .. .. ..$ mean : num [1:28678] -3.155 -3.419 -0.682 -0.303 -0.494 ...
## .. .. .. ..$ improved.mean : num [1:28678] -3.155 -3.419 -0.682 -0.303 -0.494 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.03847 -0.00545 0.09011 0.07939 -0.02984 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 27.75 2.08 13.42 51.28 42.34 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0255 -0.0131 0.0536 0.0794 -0.0298 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2072 -0.0261 0.0105 0.0593 -0.1213 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.2 15 23.3 27.3 10.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.823 3.288 -3.155 -3.419 -0.682 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.432 2.987 -0.752 0.083 0.203
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.19
## .. .. .. ..$ log.posterior.orig: num -3.92
## .. .. .. ..$ mean : num [1:28678] -2.646 -3.433 -0.682 -0.326 -0.383 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.646 -3.433 -0.682 -0.326 -0.383 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0434 -0.00866 0.10057 0.09702 -0.037 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.31 2.86 12.74 51.71 43.99 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0306 -0.0163 0.0645 0.097 -0.037 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21042 -0.0261 0.00886 0.0613 -0.12894 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.7 15.1 23.4 27 10.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.956 2.72 -2.646 -3.433 -0.682 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.427 2.908 -1.012 0.217 0.431
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -4.97
## .. .. .. ..$ log.posterior.orig: num -1.7
## .. .. .. ..$ mean : num [1:28678] -2.812 -3.318 -0.724 -0.354 -0.495 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.812 -3.318 -0.724 -0.354 -0.495 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04105 -0.00728 0.09706 0.09055 -0.03422 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 26.39 2.51 12.83 49.09 41.05 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0282 -0.0149 0.0608 0.0906 -0.0342 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2091 -0.0261 0.0102 0.0607 -0.126 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.5 15.1 23.3 27.1 10.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.834 3.029 -2.812 -3.318 -0.724 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4268 2.8899 -1.0585 -0.0258 -0.1119
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -5.76
## .. .. .. ..$ log.posterior.orig: num -2.49
## .. .. .. ..$ mean : num [1:28678] -2.862 -3.368 -0.684 -0.324 -0.449 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.862 -3.368 -0.684 -0.324 -0.449 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04096 -0.00744 0.09753 0.09197 -0.035 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 26.5 2.58 12.84 51.1 43.16 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0281 -0.0151 0.0613 0.092 -0.035 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.20919 -0.02553 0.00951 0.0601 -0.12537 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.5 15 23.3 27.2 10.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.885 2.976 -2.862 -3.368 -0.684 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.448 2.872 -1.001 0.188 0.444
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -8.24
## .. .. .. ..$ log.posterior.orig: num -4.97
## .. .. .. ..$ mean : num [1:28678] -2.504 -3.23 -0.725 -0.351 -0.483 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.504 -3.23 -0.725 -0.351 -0.483 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0428 -0.00828 0.09879 0.09427 -0.03563 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.5 2.72 12.78 47.35 39.62 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0302 -0.0158 0.0633 0.0943 -0.0356 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2067 -0.0258 0.0115 0.0627 -0.1272 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.7 15.1 23.2 26.8 10.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.798 3.121 -2.504 -3.23 -0.725 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4479 2.8543 -1.0475 -0.0551 -0.0986
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.17
## .. .. .. ..$ log.posterior.orig: num -2.9
## .. .. .. ..$ mean : num [1:28678] -2.569 -3.298 -0.698 -0.333 -0.449 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.569 -3.298 -0.698 -0.333 -0.449 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04271 -0.00846 0.09929 0.09574 -0.03644 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.6 2.8 12.8 49.3 41.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0301 -0.0159 0.0638 0.0957 -0.0364 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2068 -0.0254 0.0107 0.062 -0.1266 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.7 15 23.2 26.9 10.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.866 3.058 -2.569 -3.298 -0.698 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4429 2.7751 -1.3076 0.0794 0.13
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.01
## .. .. .. ..$ log.posterior.orig: num -2.74
## .. .. .. ..$ mean : num [1:28678] -2.779 -3.238 -0.68 -0.311 -0.494 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.779 -3.238 -0.68 -0.311 -0.494 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0406 -0.0071 0.0961 0.0896 -0.0337 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 26.59 2.45 12.85 45.87 37.95 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0279 -0.0146 0.0605 0.0896 -0.0337 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2057 -0.027 0.012 0.0618 -0.1241 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.5 15.2 23.1 26.9 10.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.8 3.32 -2.78 -3.24 -0.68 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.455 2.953 -0.742 0.113 0.189
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.3
## .. .. .. ..$ log.posterior.orig: num -4.03
## .. .. .. ..$ mean : num [1:28678] -2.293 -3.233 -0.69 -0.343 -0.398 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.293 -3.233 -0.69 -0.343 -0.398 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.046 -0.0107 0.1081 0.1095 -0.0418 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 24.21 3.16 12.2 46.18 39.35 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0335 -0.0181 0.0728 0.1095 -0.0418 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2087 -0.0272 0.0104 0.0636 -0.1315 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18 15.2 23.2 26.7 11.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.93 2.75 -2.29 -3.23 -0.69 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.402 2.894 -1.006 0.189 0.444
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.85
## .. .. .. ..$ log.posterior.orig: num -4.58
## .. .. .. ..$ mean : num [1:28678] -2.812 -3.356 -0.723 -0.346 -0.484 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.812 -3.356 -0.723 -0.346 -0.484 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04199 -0.00719 0.09756 0.08992 -0.03398 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.8 2.4 12.7 49.4 41.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0288 -0.015 0.0604 0.0899 -0.034 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2141 -0.0262 0.0105 0.0622 -0.1287 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.5 15 23.3 27.1 10.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.824 3.058 -2.812 -3.356 -0.723 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4016 2.8756 -1.0532 -0.0545 -0.0991
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.19
## .. .. .. ..$ log.posterior.orig: num -2.92
## .. .. .. ..$ mean : num [1:28678] -2.879 -3.424 -0.693 -0.326 -0.447 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.879 -3.424 -0.693 -0.326 -0.447 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0419 -0.00736 0.09803 0.09132 -0.03475 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.86 2.48 12.73 51.5 43.49 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0287 -0.0152 0.0609 0.0913 -0.0348 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21418 -0.02568 0.00967 0.06157 -0.1281 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.5 15 23.4 27.2 10.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.892 2.995 -2.879 -3.424 -0.693 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4 2.8 -1.31 0.08 0.13
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -5.93
## .. .. .. ..$ log.posterior.orig: num -2.66
## .. .. .. ..$ mean : num [1:28678] -3.094 -3.356 -0.678 -0.306 -0.496 ...
## .. .. .. ..$ improved.mean : num [1:28678] -3.094 -3.356 -0.678 -0.306 -0.496 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0399 -0.00606 0.09504 0.08546 -0.03214 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 26.83 2.13 12.8 47.89 39.58 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0266 -0.0139 0.0577 0.0855 -0.0321 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.213 -0.0274 0.0109 0.0613 -0.1255 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.3 15.1 23.3 27.2 10.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.824 3.262 -3.094 -3.356 -0.678 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.408 2.974 -0.747 0.113 0.189
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.11
## .. .. .. ..$ log.posterior.orig: num -3.84
## .. .. .. ..$ mean : num [1:28678] -2.589 -3.364 -0.686 -0.337 -0.398 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.589 -3.364 -0.686 -0.337 -0.398 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04507 -0.00947 0.10637 0.10446 -0.03985 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 24.48 2.87 12.14 48.19 41.02 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0319 -0.0173 0.0695 0.1045 -0.0398 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21624 -0.02749 0.00932 0.0633 -0.1333 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.8 15.1 23.4 27 10.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.958 2.692 -2.589 -3.364 -0.686 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4177 2.7608 -1.3023 0.0508 0.1429
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.48
## .. .. .. ..$ log.posterior.orig: num -3.21
## .. .. .. ..$ mean : num [1:28678] -2.787 -3.283 -0.688 -0.311 -0.494 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.787 -3.283 -0.688 -0.311 -0.494 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04152 -0.00701 0.09662 0.08896 -0.03346 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 25.95 2.35 12.74 46.2 38.21 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0285 -0.0147 0.0601 0.089 -0.0335 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2106 -0.0272 0.0122 0.0633 -0.1268 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.5 15.1 23.1 26.9 10.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.796 3.344 -2.787 -3.283 -0.688 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4293 2.9384 -0.7363 0.0841 0.2023
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -9.24
## .. .. .. ..$ log.posterior.orig: num -5.97
## .. .. .. ..$ mean : num [1:28678] -2.299 -3.28 -0.683 -0.331 -0.38 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.299 -3.28 -0.683 -0.331 -0.38 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.0471 -0.0106 0.1084 0.1088 -0.0415 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 23.62 3.05 12.1 46.5 39.61 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0342 -0.0182 0.0723 0.1088 -0.0415 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2137 -0.0273 0.0106 0.0652 -0.1344 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.9 15.2 23.3 26.7 11.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.931 2.783 -2.299 -3.28 -0.683 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.424 2.859 -0.996 0.219 0.431
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -7.43
## .. .. .. ..$ log.posterior.orig: num -4.16
## .. .. .. ..$ mean : num [1:28678] -2.455 -3.173 -0.727 -0.361 -0.493 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.455 -3.173 -0.727 -0.361 -0.493 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04444 -0.00906 0.10445 0.10148 -0.03837 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 24.65 2.73 12.18 44.19 37.01 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0315 -0.0167 0.0681 0.1015 -0.0384 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2124 -0.0272 0.012 0.0647 -0.1315 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.7 15.1 23.1 26.8 11 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.809 3.089 -2.455 -3.173 -0.727 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:5] -4.4243 2.8411 -1.0432 -0.0247 -0.1121
## .. .. .. .. ..- attr(*, "names")= chr [1:5] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -6.09
## .. .. .. ..$ log.posterior.orig: num -2.82
## .. .. .. ..$ mean : num [1:28678] -2.505 -3.222 -0.691 -0.333 -0.45 ...
## .. .. .. ..$ improved.mean : num [1:28678] -2.505 -3.222 -0.691 -0.333 -0.45 ...
## .. .. .. ..$ skewness : logi [1:28678] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 0.04434 -0.00925 0.10502 0.10309 -0.03924 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:80857] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:80857] 24.8 2.8 12.2 46 38.9 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:64098] 0 0 1 2 2 3 2 4 5 6 ...
## .. .. .. .. .. ..@ p : int [1:28679] 0 1 3 4 6 8 9 10 11 12 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 28678 28678
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:64098] 0.0314 -0.0169 0.0687 0.1031 -0.0392 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2125 -0.0266 0.0113 0.0641 -0.1309 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.7 15.1 23.2 26.8 10.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:28678, 1:2] 20.858 3.036 -2.505 -3.222 -0.691 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. ..$ max.log.posterior: num -55578
## ..$ nfunc : num 229
## ..$ warnings : chr(0)
## ..$ opt.trace :List of 3
## .. ..$ f : Named num [1:40] 15454327 15452563 5779473 5778470 60348 ...
## .. .. ..- attr(*, "names")= chr [1:40] "iter1" "iter2" "iter3" "iter4" ...
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## ..$ Theta4 for field : num [1:25] 0.00714 0.00676 0.00752 0.00731 0.00701 ...
## ..$ Log posterior density : num [1:25] -55594 -55597 -55597 -55598 -55597 ...
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## $ .args :List of 30
## ..$ formula :Class 'formula' language BRU.response ~ f(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_v| __truncated__ ...
## ..$ family : chr "gaussian"
## ..$ data :List of 21
## .. ..$ BRU.response : num [1:14534] 0 12.9 24.1 32.2 0 ...
## .. ..$ BRU.E : num [1:14534] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.Ntrials : num [1:14534] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.weights : num [1:14534] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.scale : num [1:14534] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.offset : num [1:14534] 0 0 0 0 0 0 0 0 0 0 ...
## .. ..$ Intercept : num [1:28678] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ Intercept.group : int [1:28678] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ Intercept.repl : int [1:28678] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ SpeedLimit : num [1:28678] NA 1 NA NA NA NA NA NA NA NA ...
## .. ..$ SpeedLimit.group : int [1:28678] NA 1 NA NA NA NA NA NA NA NA ...
## .. ..$ SpeedLimit.repl : int [1:28678] NA 1 NA NA NA NA NA NA NA NA ...
## .. ..$ field : int [1:28678] NA NA 1 2 3 4 5 6 7 8 ...
## .. ..$ field.group : int [1:28678] NA NA 1 1 1 1 1 1 1 1 ...
## .. ..$ field.repl : int [1:28678] NA NA 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU_Intercept_main_model : chr "linear"
## .. ..$ BRU_Intercept_values : num 1
## .. ..$ BRU_SpeedLimit_main_model: chr "linear"
## .. ..$ BRU_SpeedLimit_values : num 1
## .. ..$ BRU_field_main_model :List of 21
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## .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
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## .. .. .. .. .. ..@ factors : list()
## .. .. ..$ parameterization : chr "matern"
## .. .. ..$ n.spde : int 7169
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## .. ..$ BRU_field_values : int [1:7169] 1 2 3 4 5 6 7 8 9 10 ...
## ..$ quantiles : num [1:3] 0.025 0.5 0.975
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## ..$ Ntrials : num [1:14534] 1 1 1 1 1 1 1 1 1 1 ...
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta10 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b10"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[10] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[10] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta11 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta11"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b11"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[11] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[11] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta12 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta12"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b12"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[12] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[12] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta13 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta13"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b13"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[13] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[13] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta14 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta14"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b14"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[14] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[14] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta15 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta15"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b15"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[15] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[15] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta16 :List of 11
## .. .. .. ..$ hyperid : num 103016
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta16"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b16"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[16] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[16] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta17 :List of 11
## .. .. .. ..$ hyperid : num 103017
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta17"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b17"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[17] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[17] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta18 :List of 11
## .. .. .. ..$ hyperid : num 103018
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta18"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b18"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[18] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[18] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta19 :List of 11
## .. .. .. ..$ hyperid : num 103019
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta19"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b19"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[19] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[19] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta20 :List of 11
## .. .. .. ..$ hyperid : num 103020
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta20"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b20"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[20] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[20] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta21 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta21"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b21"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[21] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[21] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta22 :List of 11
## .. .. .. ..$ hyperid : num 103022
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta22"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b22"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[22] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[22] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta23 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[23] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[23] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta24 :List of 11
## .. .. .. ..$ hyperid : num 103024
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[24] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[24] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta25 :List of 11
## .. .. .. ..$ hyperid : num 103025
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta25"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b25"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[25] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[25] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta26 :List of 11
## .. .. .. ..$ hyperid : num 103026
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[26] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[26] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta27 :List of 11
## .. .. .. ..$ hyperid : num 103027
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[27] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[27] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[29] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[30] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[30] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[31] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[32] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta35 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta36 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta37 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta39 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[39] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta40 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[40] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta41 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta42 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[42] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[42] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta43 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta43"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b43"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[43] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[43] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta44 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta44"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b44"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[44] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[44] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. ..$ output.name : chr "beta[45] for lp_scale"
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## .. .. .. ..$ output.name : chr "beta[46] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[46] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b47"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[47] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[47] for lp_scale"
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## .. .. .. ..$ short.name : chr "b48"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[48] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[48] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b49"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[49] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[49] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ name : chr "beta50"
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## .. .. .. ..$ short.name : chr "b50"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[50] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[50] for lp_scale"
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## .. .. .. ..$ short.name : chr "b51"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[51] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[51] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b52"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[52] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[52] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ name : chr "beta53"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b53"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[53] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[53] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b54"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[54] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[54] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ name : chr "beta55"
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## .. .. .. ..$ short.name : chr "b55"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[55] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[55] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b56"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[56] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[56] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. ..$ short.name : chr "b57"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[57] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[57] for lp_scale"
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## .. .. .. ..$ short.name : chr "b58"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[58] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[58] for lp_scale"
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## .. .. ..$ theta59 :List of 11
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## .. .. .. ..$ short.name : chr "b59"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[59] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[59] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta60 :List of 11
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## .. .. .. ..$ name : chr "beta60"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b60"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[60] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[60] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta61 :List of 11
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## .. .. .. ..$ name : chr "beta61"
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## .. .. .. ..$ short.name : chr "b61"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[61] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[61] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta62 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta62"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b62"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[62] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[62] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b63"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[63] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[63] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b64"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[64] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[64] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta65 :List of 11
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## .. .. .. ..$ name : chr "beta65"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b65"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[65] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[65] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta66 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta66"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b66"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[66] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[66] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta67 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta67"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b67"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[67] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[67] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta68 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta68"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b68"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[68] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[68] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta69 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta69"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b69"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[69] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[69] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta70 :List of 11
## .. .. .. ..$ hyperid : num 103070
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta70"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b70"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[70] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[70] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta71 :List of 11
## .. .. .. ..$ hyperid : num 103071
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta71"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b71"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[71] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[71] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta72 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta72"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b72"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[72] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[72] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta73 :List of 11
## .. .. .. ..$ hyperid : num 103073
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta73"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b73"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[73] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[73] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta74 :List of 11
## .. .. .. ..$ hyperid : num 103074
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta74"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b74"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[74] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[74] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta75 :List of 11
## .. .. .. ..$ hyperid : num 103075
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta75"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b75"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[75] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[75] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta76 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta76"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b76"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[76] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[76] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta77 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta77"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b77"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[77] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[77] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta78 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta79 :List of 11
## .. .. .. ..$ hyperid : num 103079
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta79"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b79"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[79] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[79] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta80 :List of 11
## .. .. .. ..$ hyperid : num 103080
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[80] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[87] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[87] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta88 :List of 11
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## .. .. .. ..$ name : chr "beta88"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b88"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[88] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[88] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta89 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b89"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[89] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[89] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b90"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[90] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[90] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta91 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b91"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[91] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[91] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta92 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[92] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[92] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b93"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[93] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[93] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[94] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[94] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b95"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[95] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[95] for lp_scale"
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## .. .. ..$ theta96 :List of 11
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## .. .. .. ..$ short.name : chr "b96"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[96] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[96] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta97 :List of 11
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## .. .. .. ..$ short.name : chr "b97"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[97] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[97] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
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## .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:16024] 0 0 0 1 1 1 1 1 1 2 ...
## .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:16024] 0 1 985 1 1700 5207 5364 6858 7041 2 ...
## .. .. .. .. .. .. .. .. .. .. ..$ alpha : int 1
## .. .. .. .. .. .. .. .. .. ..$ doubles :List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 2.85 -1.1 0 0
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean: num [1:4] 2.85 -1.1 0 0
## .. .. .. .. .. .. .. .. .. ..$ characters:List of 3
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. ..$ matrices :List of 3
## .. .. .. .. .. .. .. .. .. .. ..$ B_tau : num [1:35847] 7169 5 -0.693 -1 0.5 ...
## .. .. .. .. .. .. .. .. .. .. ..$ B_kappa : num [1:35847] 7169 5 0.693 0 -1 ...
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 20 0 0 0 0 20 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ smatrices :List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ C: num [1:21510] 7169 7169 7169 0 1 ...
## .. .. .. .. .. .. .. .. .. .. ..$ G: num [1:74640] 7169 7169 24879 0 1 ...
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. ..$ cgeneric_type : chr "int_alpha"
## .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 2.85 -1.1 0 0
## .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. ..$ loglocation: num -5e-06
## .. .. .. .. .. .. .. ..$ mean : num 1
## .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. ..$ theta.prior.prec : num [1:4, 1:4] 20 0 0 0 0 20 0 0 0 0 ...
## .. .. .. .. .. .. ..$ start.nu : num 0.5
## .. .. .. .. .. .. ..$ integer.nu : logi TRUE
## .. .. .. .. .. .. ..$ start.theta : num [1:4] 2.85 -1.1 0 0
## .. .. .. .. .. .. ..$ stationary : logi FALSE
## .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. ..$ est_nu : logi FALSE
## .. .. .. .. .. .. ..$ nu.upper.bound : num 2
## .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. ..$ fem_mesh :List of 4
## .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. ..$ model :List of 21
## .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:16024] 0 0 0 1 1 1 1 1 1 2 ...
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:16024] 0 1 985 1 1700 5207 5364 6858 7041 2 ...
## .. .. .. .. .. .. .. .. .. ..$ alpha : int 1
## .. .. .. .. .. .. .. .. ..$ doubles :List of 2
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 2.85 -1.1 0 0
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean: num [1:4] 2.85 -1.1 0 0
## .. .. .. .. .. .. .. .. ..$ characters:List of 3
## .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. ..$ matrices :List of 3
## .. .. .. .. .. .. .. .. .. ..$ B_tau : num [1:35847] 7169 5 -0.693 -1 0.5 ...
## .. .. .. .. .. .. .. .. .. ..$ B_kappa : num [1:35847] 7169 5 0.693 0 -1 ...
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 20 0 0 0 0 20 0 0 ...
## .. .. .. .. .. .. .. .. ..$ smatrices :List of 2
## .. .. .. .. .. .. .. .. .. ..$ C: num [1:21510] 7169 7169 7169 0 1 ...
## .. .. .. .. .. .. .. .. .. ..$ G: num [1:74640] 7169 7169 24879 0 1 ...
## .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. ..$ cgeneric_type : chr "int_alpha"
## .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 2.85 -1.1 0 0
## .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. ..$ loglocation: num -5e-06
## .. .. .. .. .. .. ..$ mean : num 1
## .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. ..$ theta.prior.prec : num [1:4, 1:4] 20 0 0 0 0 20 0 0 0 0 ...
## .. .. .. .. .. ..$ start.nu : num 0.5
## .. .. .. .. .. ..$ integer.nu : logi TRUE
## .. .. .. .. .. ..$ start.theta : num [1:4] 2.85 -1.1 0 0
## .. .. .. .. .. ..$ stationary : logi FALSE
## .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. ..$ est_nu : logi FALSE
## .. .. .. .. .. ..$ nu.upper.bound : num 2
## .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. ..$ fem_mesh :List of 4
## .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. ..$ type : chr "cgeneric"
## .. .. .. .. ..$ n : num 7169
## .. .. .. .. ..$ values : int [1:7169] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ group :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "field.group"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "exchangeable"
## .. .. .. .. ..$ type : chr "exchangeable"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : language data_rspde_bru_nonstat[["repl"]]
## .. .. .. .. .. ..$ label : chr "field.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 4
## .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : int 4
## .. .. .. .. ..$ values : int [1:4] 1 2 3 4
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x5e7d71a01358>
## .. .. .. ..$ fcall : language "f"(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main :List of 1
## .. .. .. .. .. .. .. .. ..$ model:List of 21
## .. .. .. .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 7169
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:16024] 0 0 0 1 1 1 1 1 1 2 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:16024] 0 1 985 1 1700 5207 5364 6858 7041 2 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ alpha : int 1
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ doubles :List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 2.85 -1.1 0 0
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean: num [1:4] 2.85 -1.1 0 0
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ characters:List of 3
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_int_model"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices :List of 3
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ B_tau : num [1:35847] 7169 5 -0.693 -1 0.5 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ B_kappa : num [1:35847] 7169 5 0.693 0 -1 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 20 0 0 0 0 20 0 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ smatrices :List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ C: num [1:21510] 7169 7169 7169 0 1 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ G: num [1:74640] 7169 7169 24879 0 1 ...
## .. .. .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. .. .. .. ..$ cgeneric_type : chr "int_alpha"
## .. .. .. .. .. .. .. .. .. ..$ nu : num 0.5
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 2.85 -1.1 0 0
## .. .. .. .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ loglocation: num -5e-06
## .. .. .. .. .. .. .. .. .. .. ..$ mean : num 1
## .. .. .. .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec : num [1:4, 1:4] 20 0 0 0 0 20 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.5
## .. .. .. .. .. .. .. .. .. ..$ integer.nu : logi TRUE
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 2.85 -1.1 0 0
## .. .. .. .. .. .. .. .. .. ..$ stationary : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. .. .. .. ..$ est_nu : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 2
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. .. .. .. ..$ fem_mesh :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ group :List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ replicate:List of 4
## .. .. .. .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. .. .. ..$ n_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 7169
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 7169
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:7169] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:7169] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 28676
## .. .. .. .. .. .. ..$ n_inla : num 28676
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 28676 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 28676
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..- attr(*, "class")= chr [1:2] "component_list" "list"
## .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..$ formula:Class 'formula' language BRU_response ~ f(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_v| __truncated__ ...
## .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..- attr(*, "class")= chr [1:2] "bru_model" "list"
## ..$ lhoods :List of 1
## .. ..$ :List of 17
## .. .. ..$ family : chr "gaussian"
## .. .. ..$ formula :Class 'formula' language speed ~ .
## .. .. .. .. ..- attr(*, ".Environment")=<environment: 0x5e7d712f9758>
## .. .. ..$ response_data :List of 4
## .. .. .. ..$ BRU_response: num [1:14534] 0 12.9 24.1 32.2 0 ...
## .. .. .. ..$ BRU_E : num 1
## .. .. .. ..$ BRU_Ntrials : num 1
## .. .. .. ..$ BRU_scale : num 1
## .. .. ..$ data :List of 8
## .. .. .. ..$ speed : num [1:14534] 0 12.9 24.1 32.2 0 ...
## .. .. .. ..$ SpeedLimit : num [1:14534] -0.101 -0.617 -0.617 -0.617 -0.927 ...
## .. .. .. ..$ .coord_x : num [1:14534] -122 -122 -122 -122 -122 ...
## .. .. .. ..$ .coord_y : num [1:14534] 37.8 37.8 37.8 37.8 37.8 ...
## .. .. .. ..$ .edge_number : num [1:14534] 1 4 6 6 9 14 14 14 18 20 ...
## .. .. .. ..$ .distance_on_edge: num [1:14534] 0.437 0.144 0.252 0.658 0.601 ...
## .. .. .. ..$ .group : chr [1:14534] "1" "1" "1" "1" ...
## .. .. .. ..$ loc : num [1:14534, 1:2] 1 4 6 6 9 14 14 14 18 20 ...
## .. .. .. ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## .. .. ..$ E : num 1
## .. .. ..$ Ntrials : num 1
## .. .. ..$ weights : num 1
## .. .. ..$ scale : num 1
## .. .. ..$ samplers : NULL
## .. .. ..$ linear : logi TRUE
## .. .. ..$ expr : NULL
## .. .. ..$ response : chr "BRU_response"
## .. .. ..$ inla.family : chr "gaussian"
## .. .. ..$ domain : NULL
## .. .. ..$ used :List of 2
## .. .. .. ..$ effect: chr [1:3] "Intercept" "SpeedLimit" "field"
## .. .. .. ..$ latent: chr(0)
## .. .. .. ..- attr(*, "class")= chr "bru_used"
## .. .. ..$ allow_combine : logi TRUE
## .. .. ..$ control.family: NULL
## .. .. ..- attr(*, "class")= chr [1:2] "bru_like" "list"
## .. ..- attr(*, "class")= chr [1:2] "bru_like_list" "list"
## ..$ options :List of 14
## .. ..$ bru_verbose : num 0
## .. ..$ bru_verbose_store: num Inf
## .. ..$ bru_max_iter : num 1
## .. ..$ bru_run : logi TRUE
## .. ..$ bru_int_args :List of 3
## .. .. ..$ method: chr "stable"
## .. .. ..$ nsub1 : num 30
## .. .. ..$ nsub2 : num 9
## .. ..$ bru_method :List of 6
## .. .. ..$ taylor : chr "pandemic"
## .. .. ..$ search : chr "all"
## .. .. ..$ factor : num 1.62
## .. .. ..$ rel_tol : num 0.1
## .. .. ..$ max_step : num 2
## .. .. ..$ line_opt_method: chr "onestep"
## .. ..$ bru_compress_cp : logi TRUE
## .. ..$ bru_debug : logi FALSE
## .. ..$ E : num 1
## .. ..$ Ntrials : num 1
## .. ..$ control.compute :List of 3
## .. .. ..$ config: logi TRUE
## .. .. ..$ dic : logi TRUE
## .. .. ..$ waic : logi TRUE
## .. ..$ control.inla :List of 1
## .. .. ..$ int.strategy: chr "auto"
## .. ..$ control.fixed :List of 1
## .. .. ..$ expand.factor.strategy: chr "inla"
## .. ..$ verbose : logi FALSE
## .. ..- attr(*, "class")= chr [1:2] "bru_options" "list"
## ..$ inlabru_version: Named chr "2.10.1.9004"
## .. ..- attr(*, "names")= chr "version"
## ..$ INLA_version : Named chr "24.04.22"
## .. ..- attr(*, "names")= chr "version"
## ..- attr(*, "class")= chr [1:2] "bru_info" "list"
## - attr(*, "class")= chr [1:3] "bru" "iinla" "inla"nonstat.time.fin <- Sys.time()
print(nonstat.time.fin - nonstat.time.ini)## Time difference of 33.07903 secssummary(rspde_fit_nonstat)## inlabru version: 2.10.1.9004
## INLA version: 24.04.22
## Components:
## Intercept: main = linear(1), group = exchangeable(1L), replicate = iid(1L)
## SpeedLimit: main = linear(SpeedLimit), group = exchangeable(1L), replicate = iid(1L)
## field: main = cgeneric(loc), group = exchangeable(1L), replicate = iid(data_rspde_bru_nonstat[["repl"]])
## Likelihoods:
## Family: 'gaussian'
## Data class: 'metric_graph_data', 'list'
## Predictor: speed ~ .
## Time used:
## Pre = 0.216, Running = 3.83, Post = 0.983, Total = 5.03
## Fixed effects:
## mean sd 0.025quant 0.5quant 0.975quant mode kld
## Intercept 20.861 0.360 20.159 20.859 21.573 20.859 0
## SpeedLimit 3.084 0.218 2.647 3.085 3.507 3.084 0
##
## Random effects:
## Name Model
## field CGeneric
##
## Model hyperparameters:
## mean sd 0.025quant 0.5quant
## Precision for the Gaussian observations 0.012 0.000 0.012 0.012
## Theta1 for field 2.865 0.035 2.803 2.863
## Theta2 for field -1.064 0.101 -1.245 -1.068
## Theta3 for field 0.069 0.071 -0.037 0.060
## Theta4 for field 0.143 0.159 -0.093 0.123
## 0.975quant mode
## Precision for the Gaussian observations 0.012 0.012
## Theta1 for field 2.939 2.854
## Theta2 for field -0.847 -1.096
## Theta3 for field 0.233 0.013
## Theta4 for field 0.511 0.017
##
## Deviance Information Criterion (DIC) ...............: 108504.06
## Deviance Information Criterion (DIC, saturated) ....: 17505.74
## Effective number of parameters .....................: 2973.28
##
## Watanabe-Akaike information criterion (WAIC) ...: 108676.75
## Effective number of parameters .................: 2632.49
##
## Marginal log-Likelihood: -55589.82
## is computed
## Posterior summaries for the linear predictor and the fitted values are computed
## (Posterior marginals needs also 'control.compute=list(return.marginals.predictor=TRUE)')summary(rspde.result(rspde_fit_nonstat, "field", rspde_model_nonstat))## mean sd 0.025quant 0.5quant 0.975quant mode
## Theta1.matern 2.8646100 0.0345495 2.8026800 2.8633300 2.938670 2.8540100
## Theta2.matern -1.0640900 0.1011120 -1.2450300 -1.0677600 -0.846759 -1.0960000
## Theta3.matern 0.0686174 0.0708143 -0.0373113 0.0597392 0.232511 0.0129749
## Theta4.matern 0.1432020 0.1586840 -0.0930791 0.1230000 0.510844 0.01704693.3 Crossvalidation 1
mse.stat <- mse.nonstat <- ls.stat <- ls.nonstat <- rep(0,length(distance))
# cross-validation for-loop
for (j in 1:length(distance)) {
# print(j)
# groups <- list()
# for (i in 1:nrow(points)) {
# rowi = points[i, ]
# groups[[i]] <- which(as.vector(distmatrixlist[[rowi$.group]][rowi$indexingroup,]) <= distance[j])
# }
# cross-validation of the stationary model
cv.stat <- inla.group.cv(rspde_fit_stat, groups = GROUPS[[j]])
# cross-validation of the nonstationary model
cv.nonstat <- inla.group.cv(rspde_fit_nonstat, groups = GROUPS[[j]])
# obtain MSE and LS
mse.stat[j] <- mean((cv.stat$mean - points$speed)^2)
mse.nonstat[j] <- mean((cv.nonstat$mean - points$speed)^2)
ls.stat[j] <- mean(log(cv.stat$cv))
ls.nonstat[j] <- mean(log(cv.nonstat$cv))
}
## plot results
par(mfrow = c(2,2), family = "Palatino")
# Plot MSE
plot(distance, mse.stat, main = "MSE", ylim = c(min(mse.nonstat, mse.stat), max(mse.nonstat, mse.stat)),
type = "l", ylab = "MSE", xlab = "distance in m", col = "black")
lines(distance, mse.nonstat, col = "blue")
legend("bottomright", legend = c("Stationary", "Non-stationary"), col = c("black", "blue"), lty = 1)
# Plot log-score
plot(distance, -ls.stat, main = "log-score", ylim = c(min(-ls.nonstat, -ls.stat), max(-ls.nonstat, -ls.stat)),
type = "l", ylab = "log-score", xlab = "distance in m", col = "black")
lines(distance, -ls.nonstat, col = "blue")
legend("bottomright", legend = c("Stationary", "Non-stationary"), col = c("black", "blue"), lty = 1)
save.image(here(paste0("Models_output/", rmarkdown::metadata$title, ".RData")))